{"version":"https://jsonfeed.org/version/1.1","title":"Adaline Blog","home_page_url":"https://www.adaline.ai/blog","feed_url":"https://www.adaline.ai/feed.json","description":"Adaline is an observability and evals platform for self-improving AI agents. It turns production traces into behaviors, evals, synthetic data, and verified improvements your team can approve and ship.","language":"en-US","items":[{"id":"https://www.adaline.ai/blog/agent-decay-no-improvement-loop","url":"https://www.adaline.ai/blog/agent-decay-no-improvement-loop","external_url":"https://www.adaline.ai/blog/agent-decay-no-improvement-loop","title":"Why Deployed AI Agents Decay Without a Continuous Improvement Loop","summary":"Multi-agent systems make decay impossible to ignore. The same forces are working on every production agent, just more quietly.","content_text":"Multi-agent systems make decay impossible to ignore. The same forces are working on every production agent, just more quietly.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2d1ee9fed1/research-08.png","date_published":"2026-06-11T00:00:00.000Z","date_modified":"2026-06-12T21:03:16.500Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/agent-metabolism-ai-agent-continuous-improvement","url":"https://www.adaline.ai/blog/agent-metabolism-ai-agent-continuous-improvement","external_url":"https://www.adaline.ai/blog/agent-metabolism-ai-agent-continuous-improvement","title":"How the Agent Metabolism Compounds Quality With Every Production Improvement Cycle","summary":"Every deployed AI agent decays without a continuous improvement loop. The agent metabolism is the infrastructure that reverses that, and compounds quality with every cycle.","content_text":"Every deployed AI agent decays without a continuous improvement loop. The agent metabolism is the infrastructure that reverses that, and compounds quality with every cycle.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2026-06-04T00:00:00.000Z","date_modified":"2026-06-12T21:05:01.442Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-evaluation-metrics","url":"https://www.adaline.ai/blog/llm-evaluation-metrics","external_url":"https://www.adaline.ai/blog/llm-evaluation-metrics","title":"LLM Evaluation Metrics: How To Derive Yours From Production Traces","summary":"Standard metrics measure how your system performs on someone else's test suite. The metrics that catch your real failures have to come from your own traces.","content_text":"Standard metrics measure how your system performs on someone else's test suite. The metrics that catch your real failures have to come from your own traces.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2026-05-29T00:00:00.000Z","date_modified":"2026-05-28T16:26:02.811Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/ai-agent-observability","url":"https://www.adaline.ai/blog/ai-agent-observability","external_url":"https://www.adaline.ai/blog/ai-agent-observability","title":"AI Agent Observability: Why Latency Charts Miss The Failures That Matter","summary":"Standard observability watches whether the service is up. Agent observability has to watch whether the agent is doing the right thing.","content_text":"Standard observability watches whether the service is up. Agent observability has to watch whether the agent is doing the right thing.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/3cb9ce7050/research-04.png","date_published":"2026-05-27T00:00:00.000Z","date_modified":"2026-05-27T20:12:09.663Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-as-a-judge-reliability-bias","url":"https://www.adaline.ai/blog/llm-as-a-judge-reliability-bias","external_url":"https://www.adaline.ai/blog/llm-as-a-judge-reliability-bias","title":"LLM-as-a-Judge: Why Frontier Models Fail 50%+ Bias Tests","summary":"LLM judges hit 80% accuracy in controlled tests. In production, frontier models exceeded 50% error rates on bias tests. Here's what the 2026 research actually shows.","content_text":"LLM judges hit 80% accuracy in controlled tests. In production, frontier models exceeded 50% error rates on bias tests. Here's what the 2026 research actually shows.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/576c5202c5/research-05.png","date_published":"2026-04-08T00:00:00.000Z","date_modified":"2026-05-22T20:13:23.741Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-evaluation-guide","url":"https://www.adaline.ai/blog/llm-evaluation-guide","external_url":"https://www.adaline.ai/blog/llm-evaluation-guide","title":"LLM Evaluation: A Complete Guide To Methods, Metrics, And Frameworks","summary":"How to choose between metric-based evals, human review, and LLM-as-a-judge, and what changes when your system is an agent.","content_text":"How to choose between metric-based evals, human review, and LLM-as-a-judge, and what changes when your system is an agent.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/94a08863aa/research-09.png","date_published":"2026-03-19T00:00:00.000Z","date_modified":"2026-05-22T20:14:17.795Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/how-to-write-a-prompt-in-2026","url":"https://www.adaline.ai/blog/how-to-write-a-prompt-in-2026","external_url":"https://www.adaline.ai/blog/how-to-write-a-prompt-in-2026","title":"What Is Prompt Engineering? A Complete Guide From Definition To Production","summary":"The techniques, trade-offs, token constraints, and 2026 changes every team building with LLMs needs to know.","content_text":"The techniques, trade-offs, token constraints, and 2026 changes every team building with LLMs needs to know.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2026-03-17T00:00:00.000Z","date_modified":"2026-03-30T19:10:35.181Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-cost-optimization-token-efficiency-caching-prompt-design","url":"https://www.adaline.ai/blog/llm-cost-optimization-token-efficiency-caching-prompt-design","external_url":"https://www.adaline.ai/blog/llm-cost-optimization-token-efficiency-caching-prompt-design","title":"LLM Cost Optimization: Token Efficiency, Caching, and Prompt Design","summary":"Your LLM bill isn't a pricing problem. It's an engineering problem.","content_text":"Your LLM bill isn't a pricing problem. It's an engineering problem.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/3cb9ce7050/research-04.png","date_published":"2026-02-25T00:00:00.000Z","date_modified":"2026-04-16T20:55:32.405Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-eval-driven-development-2026","url":"https://www.adaline.ai/blog/what-is-eval-driven-development-2026","external_url":"https://www.adaline.ai/blog/what-is-eval-driven-development-2026","title":"What Is Eval-Driven Development? How to Ship AI Features Without Guessing","summary":"The teams shipping reliable AI products in 2026 aren't guessing. They're scoring.","content_text":"The teams shipping reliable AI products in 2026 aren't guessing. They're scoring.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/576c5202c5/research-05.png","date_published":"2026-02-24T00:00:00.000Z","date_modified":"2026-02-24T20:48:23.963Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/building-agentic-rag","url":"https://www.adaline.ai/blog/building-agentic-rag","external_url":"https://www.adaline.ai/blog/building-agentic-rag","title":"Building Agentic RAG with Adaline","summary":"How to build intelligent AI systems that make decisions.","content_text":"How to build intelligent AI systems that make decisions.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-12-08T00:00:00.000Z","date_modified":"2025-12-08T21:16:39.952Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tutorials","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/the-complete-guide-to-openai-gpt-5-models","url":"https://www.adaline.ai/blog/the-complete-guide-to-openai-gpt-5-models","external_url":"https://www.adaline.ai/blog/the-complete-guide-to-openai-gpt-5-models","title":"The Complete Guide To OpenAI GPT-5 Models","summary":"From GPT-5 To the OpenAI GPT-5.1 release and what it means for product teams.","content_text":"From GPT-5 To the OpenAI GPT-5.1 release and what it means for product teams.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/94a08863aa/research-09.png","date_published":"2025-11-28T00:00:00.000Z","date_modified":"2025-11-28T20:35:47.035Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/why-agentic-infrastructure-matter","url":"https://www.adaline.ai/blog/why-agentic-infrastructure-matter","external_url":"https://www.adaline.ai/blog/why-agentic-infrastructure-matter","title":"Why Agentic Infrastructure Will Power The Next Wave Of AI Products","summary":"From stateless APIs to long-running agents that need their own infrastructure layer.","content_text":"From stateless APIs to long-running agents that need their own infrastructure layer.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2d1ee9fed1/research-08.png","date_published":"2025-11-26T00:00:00.000Z","date_modified":"2026-05-22T21:18:55.197Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/gemini-3-vs-gpt-5-1","url":"https://www.adaline.ai/blog/gemini-3-vs-gpt-5-1","external_url":"https://www.adaline.ai/blog/gemini-3-vs-gpt-5-1","title":"Gemini 3 vs GPT-5.1","summary":"Ecosystem integration versus adaptive reasoning: a practical guide to choosing the right model for your workflow.","content_text":"Ecosystem integration versus adaptive reasoning: a practical guide to choosing the right model for your workflow.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2025-11-20T00:00:00.000Z","date_modified":"2025-11-20T15:54:36.256Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/lora-finetuning-efficiency-loss-functions","url":"https://www.adaline.ai/blog/lora-finetuning-efficiency-loss-functions","external_url":"https://www.adaline.ai/blog/lora-finetuning-efficiency-loss-functions","title":"LoRA Fine-tuning Efficiency Under Different Loss Functions","summary":"How loss design impacts convergence, stability, and alignment in lightweight LLMs.","content_text":"How loss design impacts convergence, stability, and alignment in lightweight LLMs.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/576c5202c5/research-05.png","date_published":"2025-11-05T00:00:00.000Z","date_modified":"2025-11-05T19:33:32.822Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-are-foundation-models","url":"https://www.adaline.ai/blog/what-are-foundation-models","external_url":"https://www.adaline.ai/blog/what-are-foundation-models","title":"A Theoretical Understanding of Foundation Models ","summary":"Learn how foundation models are trained, scaled, and deployed through advanced techniques including prompt engineering, context optimization, and tool integration for real-world applications","content_text":"Learn how foundation models are trained, scaled, and deployed through advanced techniques including prompt engineering, context optimization, and tool integration for real-world applications","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ddd926c46e/research-06.png","date_published":"2025-10-17T00:00:00.000Z","date_modified":"2025-10-23T12:22:19.680Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/claude-sonnet-4-5","url":"https://www.adaline.ai/blog/claude-sonnet-4-5","external_url":"https://www.adaline.ai/blog/claude-sonnet-4-5","title":"Claude Sonnet 4.5: Build Reliable Long-Horizon Coding Agents","summary":"A practical guide to the Agent SDK, checkpoints, OSWorld/SWE-bench, and production guardrails","content_text":"A practical guide to the Agent SDK, checkpoints, OSWorld/SWE-bench, and production guardrails","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2025-10-01T00:00:00.000Z","date_modified":"2025-10-01T11:34:04.295Z","authors":[{"name":"Nilesh"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/supervised-fine-tuning-gpt-2","url":"https://www.adaline.ai/blog/supervised-fine-tuning-gpt-2","external_url":"https://www.adaline.ai/blog/supervised-fine-tuning-gpt-2","title":"Understanding Supervised Finetuning (SFT) with GPT in 2025","summary":"Complete guide with PyTorch implementation.","content_text":"Complete guide with PyTorch implementation.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/70b3ddcc85/research-10.png","date_published":"2025-09-12T00:00:00.000Z","date_modified":"2025-09-11T16:57:29.770Z","authors":[{"name":"Nilesh "}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/activation-function","url":"https://www.adaline.ai/blog/activation-function","external_url":"https://www.adaline.ai/blog/activation-function","title":"Activation Functions In Neural Networks","summary":"A comprehensive blog on the type of activation functions in neural network.","content_text":"A comprehensive blog on the type of activation functions in neural network.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/34181f5bb6/research-01.png","date_published":"2025-08-29T00:00:00.000Z","date_modified":"2026-05-22T21:20:03.676Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/supervised-unsupervised-and-reinforcement-learning","url":"https://www.adaline.ai/blog/supervised-unsupervised-and-reinforcement-learning","external_url":"https://www.adaline.ai/blog/supervised-unsupervised-and-reinforcement-learning","title":"Understanding Supervised, Unsupervised, and Reinforcement Learning in 2025","summary":"A basic introduction to the three important paradigms of AI.","content_text":"A basic introduction to the three important paradigms of AI.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/189451d86e/tips-05.png","date_published":"2025-08-15T00:00:00.000Z","date_modified":"2025-08-16T19:07:08.266Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/instruct-tuning-gpt-oss-with-unsloth","url":"https://www.adaline.ai/blog/instruct-tuning-gpt-oss-with-unsloth","external_url":"https://www.adaline.ai/blog/instruct-tuning-gpt-oss-with-unsloth","title":"Instruct-tuning GPT-oss With Unsloth ","summary":"A step-by-step implemention to instruct tune GPT-oss with custom dataset.","content_text":"A step-by-step implemention to instruct tune GPT-oss with custom dataset.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-08-08T00:00:00.000Z","date_modified":"2025-08-09T14:42:31.436Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/implementing-gpt-2-using-huggingface-and-pytorch","url":"https://www.adaline.ai/blog/implementing-gpt-2-using-huggingface-and-pytorch","external_url":"https://www.adaline.ai/blog/implementing-gpt-2-using-huggingface-and-pytorch","title":"Implementing GPT-2 Using Hugging Face and Pytorch","summary":"Step-by-step tutorial to build GPT-2 in a weekend for PMs & Engineers","content_text":"Step-by-step tutorial to build GPT-2 in a weekend for PMs & Engineers","image":"https://a-us.storyblok.com/f/1023026/2912x1632/189451d86e/tips-05.png","date_published":"2025-08-01T00:00:00.000Z","date_modified":"2025-08-01T20:17:50.451Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/encoder-decoder-models","url":"https://www.adaline.ai/blog/encoder-decoder-models","external_url":"https://www.adaline.ai/blog/encoder-decoder-models","title":"Practical Implementation of Encoder–Decoder Architecture","summary":"A hands-on guide to encoder-decoder models, Transformer internals, and step-by-step PyTorch code.","content_text":"A hands-on guide to encoder-decoder models, Transformer internals, and step-by-step PyTorch code.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/070329819d/research-02.png","date_published":"2025-07-28T00:00:00.000Z","date_modified":"2026-05-22T21:18:52.876Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/self-attention-from-scratch","url":"https://www.adaline.ai/blog/self-attention-from-scratch","external_url":"https://www.adaline.ai/blog/self-attention-from-scratch","title":"Understanding Self-Attention Using PyTorch","summary":"A step-by-step guide to the self-attention mechanism from scratch.","content_text":"A step-by-step guide to the self-attention mechanism from scratch.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/34181f5bb6/research-01.png","date_published":"2025-07-25T00:00:00.000Z","date_modified":"2025-07-25T14:16:21.337Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/how-ai-superintelligence-will-transform-our-products","url":"https://www.adaline.ai/blog/how-ai-superintelligence-will-transform-our-products","external_url":"https://www.adaline.ai/blog/how-ai-superintelligence-will-transform-our-products","title":"How AI Superintelligence Will Transform Our Products","summary":"Scaling data, compute, and safety pipelines on the road to AI Superintelligence.","content_text":"Scaling data, compute, and safety pipelines on the road to AI Superintelligence.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2025-07-21T00:00:00.000Z","date_modified":"2025-07-21T11:38:45.205Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-context-engineering-for-ai-agents","url":"https://www.adaline.ai/blog/what-is-context-engineering-for-ai-agents","external_url":"https://www.adaline.ai/blog/what-is-context-engineering-for-ai-agents","title":"What is Context Engineering for AI Agents?","summary":"Learn why managing context—not just prompts— is essential for your AI products.","content_text":"Learn why managing context—not just prompts— is essential for your AI products.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/576c5202c5/research-05.png","date_published":"2025-07-07T00:00:00.000Z","date_modified":"2025-08-19T20:07:22.034Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/few-shot-prompting-in-2025","url":"https://www.adaline.ai/blog/few-shot-prompting-in-2025","external_url":"https://www.adaline.ai/blog/few-shot-prompting-in-2025","title":"Understanding Few-shot Prompting in 2025","summary":"Step-by-step tactics for Product Leaders to craft, test, and refine few-shot prompts for production-ready AI features.","content_text":"Step-by-step tactics for Product Leaders to craft, test, and refine few-shot prompts for production-ready AI features.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-06-27T00:00:00.000Z","date_modified":"2025-06-27T14:11:37.518Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-zero-shot-prompting-in-2025","url":"https://www.adaline.ai/blog/understanding-zero-shot-prompting-in-2025","external_url":"https://www.adaline.ai/blog/understanding-zero-shot-prompting-in-2025","title":"Understanding Zero-shot Prompting in 2025","summary":"A Practical Guide for Product Leaders to Leveraging Zero-Shot Prompts, Templates, and Benchmarks for Next-Gen LLMs","content_text":"A Practical Guide for Product Leaders to Leveraging Zero-Shot Prompts, Templates, and Benchmarks for Next-Gen LLMs","image":"https://a-us.storyblok.com/f/1023026/2912x1632/5c4f26f3e6/tips-04.png","date_published":"2025-06-26T00:00:00.000Z","date_modified":"2025-06-26T17:08:30.909Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/decomposed-prompting","url":"https://www.adaline.ai/blog/decomposed-prompting","external_url":"https://www.adaline.ai/blog/decomposed-prompting","title":"What is Decomposed Prompting?","summary":"A Comprehensive Note on How to Implement Decomposed Prompting","content_text":"A Comprehensive Note on How to Implement Decomposed Prompting","image":"https://a-us.storyblok.com/f/1023026/2912x1632/189451d86e/tips-05.png","date_published":"2025-06-25T00:00:00.000Z","date_modified":"2025-06-26T16:37:18.773Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/tree-of-thought","url":"https://www.adaline.ai/blog/tree-of-thought","external_url":"https://www.adaline.ai/blog/tree-of-thought","title":"Tree-of-Thought Prompting","summary":"A Technical Guide for Product Leaders in 2025","content_text":"A Technical Guide for Product Leaders in 2025","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-06-24T00:00:00.000Z","date_modified":"2025-06-26T14:56:14.806Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/levels-of-agentic-ai","url":"https://www.adaline.ai/blog/levels-of-agentic-ai","external_url":"https://www.adaline.ai/blog/levels-of-agentic-ai","title":"The 5 Levels of Agentic AI","summary":"From Basic Automation to Autonomous Intelligence in 2025","content_text":"From Basic Automation to Autonomous Intelligence in 2025","image":"https://a-us.storyblok.com/f/1023026/2912x1632/70b3ddcc85/research-10.png","date_published":"2025-06-23T00:00:00.000Z","date_modified":"2025-06-23T16:03:55.142Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-active-prompt-in-llm","url":"https://www.adaline.ai/blog/what-is-active-prompt-in-llm","external_url":"https://www.adaline.ai/blog/what-is-active-prompt-in-llm","title":"What is Active-Prompt in LLM?","summary":"Human-in-the-Loop Prompt Engineering","content_text":"Human-in-the-Loop Prompt Engineering","image":"https://a-us.storyblok.com/f/1023026/2912x1632/070329819d/research-02.png","date_published":"2025-06-20T00:00:00.000Z","date_modified":"2025-06-20T16:27:53.110Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/iterative-prompting-a-step-by-step-guide-for-reliable-llm-outputs","url":"https://www.adaline.ai/blog/iterative-prompting-a-step-by-step-guide-for-reliable-llm-outputs","external_url":"https://www.adaline.ai/blog/iterative-prompting-a-step-by-step-guide-for-reliable-llm-outputs","title":"What is Iterative Prompting?","summary":"A Step-by-Step Guide for Reliable LLM Outputs","content_text":"A Step-by-Step Guide for Reliable LLM Outputs","image":"https://a-us.storyblok.com/f/1023026/2912x1632/34181f5bb6/research-01.png","date_published":"2025-06-19T00:00:00.000Z","date_modified":"2025-06-20T07:15:00.756Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/least-to-most-prompting","url":"https://www.adaline.ai/blog/least-to-most-prompting","external_url":"https://www.adaline.ai/blog/least-to-most-prompting","title":"Least-to-Most Prompting","summary":"A Step-by-Step Guide to Breaking Down Complex AI Problems for Better Results","content_text":"A Step-by-Step Guide to Breaking Down Complex AI Problems for Better Results","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2025-06-18T00:00:00.000Z","date_modified":"2025-06-20T16:50:14.228Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-recursive-prompting","url":"https://www.adaline.ai/blog/understanding-recursive-prompting","external_url":"https://www.adaline.ai/blog/understanding-recursive-prompting","title":"Recursive Prompting ","summary":"Advanced Prompt Engineering Techniques for Better AI Outputs Through Iterative Refinement","content_text":"Advanced Prompt Engineering Techniques for Better AI Outputs Through Iterative Refinement","image":"https://a-us.storyblok.com/f/1023026/2912x1632/3cb9ce7050/research-04.png","date_published":"2025-06-17T00:00:00.000Z","date_modified":"2025-06-20T16:59:55.694Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/adaline-is-generally-available-giving-1mm-in-api-credits","url":"https://www.adaline.ai/blog/adaline-is-generally-available-giving-1mm-in-api-credits","external_url":"https://www.adaline.ai/blog/adaline-is-generally-available-giving-1mm-in-api-credits","title":"Adaline is now generally available. Giving $1MM in API credits.","summary":"After nearly a year of building with some incredible customers and over 100K developers, Adaline is now open to everyone for iteration, evaluation, deployment, and monitor with even more coming soon.","content_text":"After nearly a year of building with some incredible customers and over 100K developers, Adaline is now open to everyone for iteration, evaluation, deployment, and monitor with even more coming soon.","image":"https://a-us.storyblok.com/f/1023026/1920x1080/9d1526deab/adaline-ga-2.png","date_published":"2025-06-17T00:00:00.000Z","date_modified":"2025-06-17T08:17:56.809Z","authors":[{"name":"Arsh Shah Dilbagi"}],"tags":["Product","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/react-prompting","url":"https://www.adaline.ai/blog/react-prompting","external_url":"https://www.adaline.ai/blog/react-prompting","title":"What is ReAct Prompting in 2025?","summary":"Combining Reasoning and Action with AI Agents","content_text":"Combining Reasoning and Action with AI Agents","image":"https://a-us.storyblok.com/f/1023026/2912x1632/576c5202c5/research-05.png","date_published":"2025-06-16T00:00:00.000Z","date_modified":"2025-06-22T19:26:00.706Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/boost-accuracy-with-generated-knowledge-prompting","url":"https://www.adaline.ai/blog/boost-accuracy-with-generated-knowledge-prompting","external_url":"https://www.adaline.ai/blog/boost-accuracy-with-generated-knowledge-prompting","title":"Boost Accuracy with Generated Knowledge Prompting","summary":"LLM Optimization Through Strategic Knowledge Prompting Methods","content_text":"LLM Optimization Through Strategic Knowledge Prompting Methods","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ddd926c46e/research-06.png","date_published":"2025-06-13T00:00:00.000Z","date_modified":"2025-06-22T20:06:00.962Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-are-agentic-llms","url":"https://www.adaline.ai/blog/what-are-agentic-llms","external_url":"https://www.adaline.ai/blog/what-are-agentic-llms","title":"What Are Agentic LLMs? A Comprehensive Technical Guide","summary":"Understanding the architecture, training methodologies, and implementation strategies that transform language models into autonomous AI agents","content_text":"Understanding the architecture, training methodologies, and implementation strategies that transform language models into autonomous AI agents","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2025-06-12T00:00:00.000Z","date_modified":"2026-05-22T21:18:57.671Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/evaluating-ai-agents-in-2026","url":"https://www.adaline.ai/blog/evaluating-ai-agents-in-2026","external_url":"https://www.adaline.ai/blog/evaluating-ai-agents-in-2026","title":"Evaluating AI Agents In 2026: Benchmarks For Teams","summary":"AI agent benchmarks now test full workflows: GAIA hit 74.5%, WebArena nears humans, and SWE-bench variants expose coding-agent gaps.","content_text":"AI agent benchmarks now test full workflows: GAIA hit 74.5%, WebArena nears humans, and SWE-bench variants expose coding-agent gaps.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2025-06-11T00:00:00.000Z","date_modified":"2026-05-22T21:19:35.775Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/automatic-multi-step-reasoning-and-tool-use","url":"https://www.adaline.ai/blog/automatic-multi-step-reasoning-and-tool-use","external_url":"https://www.adaline.ai/blog/automatic-multi-step-reasoning-and-tool-use","title":"How to use Automatic Reasoning and Tool-Use for LLMs?","summary":"Tips for Product Leaders for Shipping Features Faster with Tool-Augmented Reasoning","content_text":"Tips for Product Leaders for Shipping Features Faster with Tool-Augmented Reasoning","image":"https://a-us.storyblok.com/f/1023026/2912x1632/189451d86e/tips-05.png","date_published":"2025-06-02T00:00:00.000Z","date_modified":"2025-06-27T17:07:58.078Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/chain-of-thought-prompting-in-2025","url":"https://www.adaline.ai/blog/chain-of-thought-prompting-in-2025","external_url":"https://www.adaline.ai/blog/chain-of-thought-prompting-in-2025","title":"Understanding Chain-of-thought Prompting in 2025","summary":"Step-by-Step Tactics for Product Leaders to Craft, Test, and Refine Prompts for Production-ready AI features.","content_text":"Step-by-Step Tactics for Product Leaders to Craft, Test, and Refine Prompts for Production-ready AI features.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/5c4f26f3e6/tips-04.png","date_published":"2025-06-01T00:00:00.000Z","date_modified":"2026-03-30T19:09:47.066Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/humanitys-last-exam-ai-benchmark","url":"https://www.adaline.ai/blog/humanitys-last-exam-ai-benchmark","external_url":"https://www.adaline.ai/blog/humanitys-last-exam-ai-benchmark","title":"Humanity's Last Exam Benchmark: How “Humanity’s Last Exam” Pushes GPT-4-Level AI Beyond MMLU","summary":"Brief notes on the multi-modal HLE benchmark built to test frontier models after traditional AI leaderboards hit saturation.","content_text":"Brief notes on the multi-modal HLE benchmark built to test frontier models after traditional AI leaderboards hit saturation.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/3cb9ce7050/research-04.png","date_published":"2025-05-08T00:00:00.000Z","date_modified":"2025-05-08T17:01:31.864Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-self-consistency-prompting","url":"https://www.adaline.ai/blog/what-is-self-consistency-prompting","external_url":"https://www.adaline.ai/blog/what-is-self-consistency-prompting","title":"Self-Consistency Prompting: Get 17.9% Better Reasoning Accuracy","summary":"Multiple reasoning paths + majority vote = better answers. Self-consistency improved GSM8K accuracy by 17.9%. Temperature settings, cost analysis, and when to use it.","content_text":"Multiple reasoning paths + majority vote = better answers. Self-consistency improved GSM8K accuracy by 17.9%. Temperature settings, cost analysis, and when to use it.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2025-04-30T00:00:00.000Z","date_modified":"2026-05-05T12:00:03.311Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/reforge-reduces-ai-deployment-from-1-month-to-1-week-and-more-using-adaline","url":"https://www.adaline.ai/blog/reforge-reduces-ai-deployment-from-1-month-to-1-week-and-more-using-adaline","external_url":"https://www.adaline.ai/blog/reforge-reduces-ai-deployment-from-1-month-to-1-week-and-more-using-adaline","title":"Reforge Reduces AI Deployment from 1 Month to 1 Week Using Adaline ","summary":"Empowering Teams, Accelerating Innovation: Reforge's Journey to Streamlined AI Operations","content_text":"Empowering Teams, Accelerating Innovation: Reforge's Journey to Streamlined AI Operations","image":"https://a-us.storyblok.com/f/1023026/1920x1080/d6a30b9b38/reforge-case-study.png","date_published":"2025-04-29T00:00:00.000Z","date_modified":"2025-05-07T01:53:34.699Z","authors":[{"name":"Adaline"}],"tags":["Case Studies","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-scaling-rl","url":"https://www.adaline.ai/blog/what-is-scaling-rl","external_url":"https://www.adaline.ai/blog/what-is-scaling-rl","title":"What is Scaling RL in LLMs in train-time?","summary":"A Technical Exploration of Reinforcement Learning Scaling in LLMs","content_text":"A Technical Exploration of Reinforcement Learning Scaling in LLMs","image":"https://a-us.storyblok.com/f/1023026/2912x1632/3cb9ce7050/research-04.png","date_published":"2025-04-28T00:00:00.000Z","date_modified":"2025-04-29T17:36:30.675Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-inference-vs-training","url":"https://www.adaline.ai/blog/llm-inference-vs-training","external_url":"https://www.adaline.ai/blog/llm-inference-vs-training","title":"Understanding LLM Inference and LLM Training","summary":"A Technical Framework for Optimizing Large Language Model Deployment","content_text":"A Technical Framework for Optimizing Large Language Model Deployment","image":"https://a-us.storyblok.com/f/1023026/2912x1632/70b3ddcc85/research-10.png","date_published":"2025-04-27T00:00:00.000Z","date_modified":"2026-03-26T10:49:06.757Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-few-shot-prompting","url":"https://www.adaline.ai/blog/what-is-few-shot-prompting","external_url":"https://www.adaline.ai/blog/what-is-few-shot-prompting","title":"What is Few-shot Prompting?","summary":"A Guide to Few-Shot Prompting in 2025 with Reasoning LLMs","content_text":"A Guide to Few-Shot Prompting in 2025 with Reasoning LLMs","image":"https://a-us.storyblok.com/f/1023026/2912x1632/576c5202c5/research-05.png","date_published":"2025-04-25T00:00:00.000Z","date_modified":"2025-04-26T11:58:09.820Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-zero-shot-prompting","url":"https://www.adaline.ai/blog/what-is-zero-shot-prompting","external_url":"https://www.adaline.ai/blog/what-is-zero-shot-prompting","title":"Zero-Shot Prompting in 2026: The Practitioner's Guide","summary":"Reasoning LLMs changed what zero-shot prompting can do. When it beats few-shot, when it breaks, and how to write zero-shot instructions that actually work in production.","content_text":"Reasoning LLMs changed what zero-shot prompting can do. When it beats few-shot, when it breaks, and how to write zero-shot instructions that actually work in production.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/3cb9ce7050/research-04.png","date_published":"2025-04-24T00:00:00.000Z","date_modified":"2026-05-05T11:55:51.258Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-evals-product-leaders-should-know-in-2025","url":"https://www.adaline.ai/blog/llm-evals-product-leaders-should-know-in-2025","external_url":"https://www.adaline.ai/blog/llm-evals-product-leaders-should-know-in-2025","title":"LLM Evals Product Leaders Should Know in 2025","summary":"Critical Benchmarks for Evaluating Reasoning-based LLMs","content_text":"Critical Benchmarks for Evaluating Reasoning-based LLMs","image":"https://a-us.storyblok.com/f/1023026/2912x1632/34181f5bb6/research-01.png","date_published":"2025-04-23T00:00:00.000Z","date_modified":"2025-04-23T19:25:52.417Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-scaling-inference","url":"https://www.adaline.ai/blog/what-is-scaling-inference","external_url":"https://www.adaline.ai/blog/what-is-scaling-inference","title":"What is Test-time Scaling?","summary":"A Note on Test-time or Inference Scaling for Reasoning Models.","content_text":"A Note on Test-time or Inference Scaling for Reasoning Models.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/3cb9ce7050/research-04.png","date_published":"2025-04-22T00:00:00.000Z","date_modified":"2025-04-21T17:53:07.179Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-llm-apis","url":"https://www.adaline.ai/blog/understanding-llm-apis","external_url":"https://www.adaline.ai/blog/understanding-llm-apis","title":"Understanding LLM APIs","summary":"A Comprehensive Guide for Product Leaders Working with LLMs","content_text":"A Comprehensive Guide for Product Leaders Working with LLMs","image":"https://a-us.storyblok.com/f/1023026/2912x1632/94a08863aa/research-09.png","date_published":"2025-04-21T00:00:00.000Z","date_modified":"2025-04-18T11:14:03.233Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-as-judges","url":"https://www.adaline.ai/blog/llm-as-judges","external_url":"https://www.adaline.ai/blog/llm-as-judges","title":" LLM as Judges: Advances in Fine-tuning Models for AI Evaluation","summary":"A Technical Examination of Training Methodologies, Architectural Considerations, and Real-world Applications in Large Language Model Assessment","content_text":"A Technical Examination of Training Methodologies, Architectural Considerations, and Real-world Applications in Large Language Model Assessment","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2025-04-20T00:00:00.000Z","date_modified":"2025-04-18T12:49:57.665Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/how-prompts-are-processed-in-llms-and-how-llms-reason-using-prompts","url":"https://www.adaline.ai/blog/how-prompts-are-processed-in-llms-and-how-llms-reason-using-prompts","external_url":"https://www.adaline.ai/blog/how-prompts-are-processed-in-llms-and-how-llms-reason-using-prompts","title":"How Prompts Are Processed in LLMs and How LLMs Reason Using Prompts","summary":"Understanding LLM Prompt Processing Mechanisms","content_text":"Understanding LLM Prompt Processing Mechanisms","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2d1ee9fed1/research-08.png","date_published":"2025-04-19T00:00:00.000Z","date_modified":"2025-04-17T11:19:32.084Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-meta-prompting","url":"https://www.adaline.ai/blog/what-is-meta-prompting","external_url":"https://www.adaline.ai/blog/what-is-meta-prompting","title":"What is Meta-Prompting?","summary":"Advanced Techniques for Enhanced AI Interactions","content_text":"Advanced Techniques for Enhanced AI Interactions","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2025-04-18T00:00:00.000Z","date_modified":"2025-04-17T11:23:01.111Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-image-understanding-benchmarks-for-llm-evals","url":"https://www.adaline.ai/blog/what-is-image-understanding-benchmarks-for-llm-evals","external_url":"https://www.adaline.ai/blog/what-is-image-understanding-benchmarks-for-llm-evals","title":"What is Image Understanding Benchmarks for LLM Evals","summary":"Evaluating Multimodal LLMs with ChartQA, DocVQA, and Beyond","content_text":"Evaluating Multimodal LLMs with ChartQA, DocVQA, and Beyond","image":"https://a-us.storyblok.com/f/1023026/2912x1632/576c5202c5/research-05.png","date_published":"2025-04-17T00:00:00.000Z","date_modified":"2025-04-16T14:31:36.580Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-multimodal-reasoning-benchmarks","url":"https://www.adaline.ai/blog/what-is-multimodal-reasoning-benchmarks","external_url":"https://www.adaline.ai/blog/what-is-multimodal-reasoning-benchmarks","title":"Multimodal Reasoning Benchmarks: A Comparative Analysis of Visual-Mathematical Performance in AI Systems","summary":"Evaluating Advanced Reasoning Capabilities Across MMMU, MathVista, and Multi-Image Frameworks","content_text":"Evaluating Advanced Reasoning Capabilities Across MMMU, MathVista, and Multi-Image Frameworks","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ddd926c46e/research-06.png","date_published":"2025-04-16T00:00:00.000Z","date_modified":"2025-04-16T14:01:54.835Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/a-survey-on-advanced-reasoning-in-large-language-models","url":"https://www.adaline.ai/blog/a-survey-on-advanced-reasoning-in-large-language-models","external_url":"https://www.adaline.ai/blog/a-survey-on-advanced-reasoning-in-large-language-models","title":"A Survey on Advanced Reasoning Benchmarks in Large Language Models","summary":"A Systematic Analysis of MMLU-Pro, GPQA, Diamond, and other Reasoning Benchmarks","content_text":"A Systematic Analysis of MMLU-Pro, GPQA, Diamond, and other Reasoning Benchmarks","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2025-04-15T00:00:00.000Z","date_modified":"2026-02-02T11:45:41.410Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-gpu-for-inference-in-llms","url":"https://www.adaline.ai/blog/understanding-gpu-for-inference-in-llms","external_url":"https://www.adaline.ai/blog/understanding-gpu-for-inference-in-llms","title":"Understanding GPU for Inference in LLMs","summary":"Understanding Memory Bandwidth Optimization and Architecture Considerations for Efficient Large Language Model Inference","content_text":"Understanding Memory Bandwidth Optimization and Architecture Considerations for Efficient Large Language Model Inference","image":"https://a-us.storyblok.com/f/1023026/2912x1632/576c5202c5/research-05.png","date_published":"2025-04-14T00:00:00.000Z","date_modified":"2025-04-15T17:39:46.127Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-gpu-for-training-llms","url":"https://www.adaline.ai/blog/understanding-gpu-for-training-llms","external_url":"https://www.adaline.ai/blog/understanding-gpu-for-training-llms","title":"Understanding GPU for Training LLMs","summary":"A Technical Analysis of Hardware Considerations for Large Language Model Training and Inference","content_text":"A Technical Analysis of Hardware Considerations for Large Language Model Training and Inference","image":"https://a-us.storyblok.com/f/1023026/2912x1632/34181f5bb6/research-01.png","date_published":"2025-04-13T00:00:00.000Z","date_modified":"2026-03-19T16:05:35.723Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-the-difference-between-open-source-and-open-weight-models","url":"https://www.adaline.ai/blog/what-is-the-difference-between-open-source-and-open-weight-models","external_url":"https://www.adaline.ai/blog/what-is-the-difference-between-open-source-and-open-weight-models","title":"What is the difference between open-source and open-weight models?","summary":"Understanding the Critical Differences for AI Implementation","content_text":"Understanding the Critical Differences for AI Implementation","image":"https://a-us.storyblok.com/f/1023026/2912x1632/70b3ddcc85/research-10.png","date_published":"2025-04-12T00:00:00.000Z","date_modified":"2026-03-26T11:53:19.532Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-embeddings-models-in-llms","url":"https://www.adaline.ai/blog/what-is-embeddings-models-in-llms","external_url":"https://www.adaline.ai/blog/what-is-embeddings-models-in-llms","title":"How Do Embeddings Work in LLMs?","summary":"A Comprehensive Analysis of Vector Representations in Large Language Models","content_text":"A Comprehensive Analysis of Vector Representations in Large Language Models","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2025-04-11T00:00:00.000Z","date_modified":"2026-03-26T10:52:21.522Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-the-arc-agi-benchmark-and-its-significance-in-evaluating-llm-capabilities-in-2025","url":"https://www.adaline.ai/blog/what-is-the-arc-agi-benchmark-and-its-significance-in-evaluating-llm-capabilities-in-2025","external_url":"https://www.adaline.ai/blog/what-is-the-arc-agi-benchmark-and-its-significance-in-evaluating-llm-capabilities-in-2025","title":"What is the ARC AGI Benchmark and its significance in evaluating LLM capabilities in 2025","summary":"A Comprehensive Guide to Understanding Abstract Reasoning Assessment in Large Language Models","content_text":"A Comprehensive Guide to Understanding Abstract Reasoning Assessment in Large Language Models","image":"https://a-us.storyblok.com/f/1023026/2912x1632/34181f5bb6/research-01.png","date_published":"2025-04-10T00:00:00.000Z","date_modified":"2025-04-11T09:26:03.892Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/evaluating-large-language-models","url":"https://www.adaline.ai/blog/evaluating-large-language-models","external_url":"https://www.adaline.ai/blog/evaluating-large-language-models","title":"How to Evaluate Large Language Models: An Overview of Modern Evaluation Frameworks","summary":"How Researchers Measure What Llms Know And Can Do—From Basic Tasks To Reasoning Challenges","content_text":"How Researchers Measure What Llms Know And Can Do—From Basic Tasks To Reasoning Challenges","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2025-04-09T00:00:00.000Z","date_modified":"2026-04-01T09:26:32.212Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-bleu-rouge-and-modern-nlp-metrics","url":"https://www.adaline.ai/blog/understanding-bleu-rouge-and-modern-nlp-metrics","external_url":"https://www.adaline.ai/blog/understanding-bleu-rouge-and-modern-nlp-metrics","title":"Understanding BLEU, ROUGE, and Modern NLP Metrics","summary":"A Clear Guide To How We Evaluate Machine-Generated Language, From Counting Word Matches To Understanding Meaning","content_text":"A Clear Guide To How We Evaluate Machine-Generated Language, From Counting Word Matches To Understanding Meaning","image":"https://a-us.storyblok.com/f/1023026/2912x1632/070329819d/research-02.png","date_published":"2025-04-08T00:00:00.000Z","date_modified":"2025-04-08T15:26:29.655Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/multimodal-large-language-models-foundations-processing-mechanisms-and-significance","url":"https://www.adaline.ai/blog/multimodal-large-language-models-foundations-processing-mechanisms-and-significance","external_url":"https://www.adaline.ai/blog/multimodal-large-language-models-foundations-processing-mechanisms-and-significance","title":"Understanding Multimodal Large Language Models","summary":"A Systematic Analysis of How Integrating Multiple Perception Channels Reshapes Language Model Capabilities","content_text":"A Systematic Analysis of How Integrating Multiple Perception Channels Reshapes Language Model Capabilities","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2d1ee9fed1/research-08.png","date_published":"2025-04-07T00:00:00.000Z","date_modified":"2025-04-09T17:23:25.901Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-attention-mechanisms-in-llms","url":"https://www.adaline.ai/blog/understanding-attention-mechanisms-in-llms","external_url":"https://www.adaline.ai/blog/understanding-attention-mechanisms-in-llms","title":"Understanding Attention Mechanisms in LLMs","summary":"A Review of Attention’s Role in Contemporary LLMs","content_text":"A Review of Attention’s Role in Contemporary LLMs","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2d1ee9fed1/research-08.png","date_published":"2025-04-04T00:00:00.000Z","date_modified":"2026-05-22T21:17:07.729Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/advanced-llm-evaluation-methods","url":"https://www.adaline.ai/blog/advanced-llm-evaluation-methods","external_url":"https://www.adaline.ai/blog/advanced-llm-evaluation-methods","title":"Advanced LLM Evaluation Methods","summary":"Key Insights for Product Leaders","content_text":"Key Insights for Product Leaders","image":"https://a-us.storyblok.com/f/1023026/2912x1632/d8e263cbea/tips-03.png","date_published":"2025-04-03T00:00:00.000Z","date_modified":"2025-04-03T15:31:55.823Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-emergent-behavior-in-large-language-models","url":"https://www.adaline.ai/blog/what-is-emergent-behavior-in-large-language-models","external_url":"https://www.adaline.ai/blog/what-is-emergent-behavior-in-large-language-models","title":"Understanding Emergent Behavior in Large Language Models","summary":"How does scaling an LLM lead to emergent capabilities","content_text":"How does scaling an LLM lead to emergent capabilities","image":"https://a-us.storyblok.com/f/1023026/2912x1632/070329819d/research-02.png","date_published":"2025-04-02T00:00:00.000Z","date_modified":"2025-04-02T13:00:07.143Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-llm-interpretability-technical-foundations-and-methods","url":"https://www.adaline.ai/blog/understanding-llm-interpretability-technical-foundations-and-methods","external_url":"https://www.adaline.ai/blog/understanding-llm-interpretability-technical-foundations-and-methods","title":"Understanding LLM Interpretability: Technical Foundations and Methods","summary":"A Technical Exploration of Model Transparency for AI Product Development","content_text":"A Technical Exploration of Model Transparency for AI Product Development","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2025-04-01T00:00:00.000Z","date_modified":"2026-03-19T14:56:35.507Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-agentic-behavior-in-llm","url":"https://www.adaline.ai/blog/what-is-agentic-behavior-in-llm","external_url":"https://www.adaline.ai/blog/what-is-agentic-behavior-in-llm","title":"Agentic Behaviour of LLM","summary":"A survey of how versatile LLMs are becoming","content_text":"A survey of how versatile LLMs are becoming","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2025-03-31T00:00:00.000Z","date_modified":"2026-03-26T11:52:24.669Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/the-role-of-reinforcement-learning-in-prompt-optimization","url":"https://www.adaline.ai/blog/the-role-of-reinforcement-learning-in-prompt-optimization","external_url":"https://www.adaline.ai/blog/the-role-of-reinforcement-learning-in-prompt-optimization","title":"The Role of Reinforcement Learning in Prompt Optimization ","summary":"A general guide for Product Managers","content_text":"A general guide for Product Managers","image":"https://a-us.storyblok.com/f/1023026/2912x1632/70b3ddcc85/research-10.png","date_published":"2025-03-30T00:00:00.000Z","date_modified":"2025-03-30T18:33:42.143Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/a-survey-on-the-llm-released-in-q1-2025","url":"https://www.adaline.ai/blog/a-survey-on-the-llm-released-in-q1-2025","external_url":"https://www.adaline.ai/blog/a-survey-on-the-llm-released-in-q1-2025","title":"A Survey on the LLM Released in Q1 2025","summary":"A Comprehensive Analysis of Q1's Breakthrough Language Models and Their Strategic Implications","content_text":"A Comprehensive Analysis of Q1's Breakthrough Language Models and Their Strategic Implications","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2025-03-29T00:00:00.000Z","date_modified":"2025-04-04T04:50:15.842Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-llm-interpretability","url":"https://www.adaline.ai/blog/what-is-llm-interpretability","external_url":"https://www.adaline.ai/blog/what-is-llm-interpretability","title":"LLM Interpretability: A Product Leader's Guide to Understanding AI Decision-Making","summary":"How Transparent AI Systems Deliver Business Value Through Risk Mitigation, Compliance, and Accelerated Adoption","content_text":"How Transparent AI Systems Deliver Business Value Through Risk Mitigation, Compliance, and Accelerated Adoption","image":"https://a-us.storyblok.com/f/1023026/2912x1632/d8e263cbea/tips-03.png","date_published":"2025-03-28T00:00:00.000Z","date_modified":"2026-03-19T11:43:11.419Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/the-foundations-of-llm-evaluation","url":"https://www.adaline.ai/blog/the-foundations-of-llm-evaluation","external_url":"https://www.adaline.ai/blog/the-foundations-of-llm-evaluation","title":"The Foundations of LLM Evaluation","summary":"Key LLM Evaluation Dimensions for Product Success","content_text":"Key LLM Evaluation Dimensions for Product Success","image":"https://a-us.storyblok.com/f/1023026/2912x1632/6dd9b16cbd/tips-02.png","date_published":"2025-03-26T00:00:00.000Z","date_modified":"2025-04-03T12:24:23.294Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-self-evaluation-and-rag-evaluation-methods","url":"https://www.adaline.ai/blog/llm-self-evaluation-and-rag-evaluation-methods","external_url":"https://www.adaline.ai/blog/llm-self-evaluation-and-rag-evaluation-methods","title":"LLM Self-Evaluation and RAG Evaluation Methods","summary":"Understanding How AI Systems Check Their Own Work","content_text":"Understanding How AI Systems Check Their Own Work","image":"https://a-us.storyblok.com/f/1023026/2912x1632/5c4f26f3e6/tips-04.png","date_published":"2025-03-25T00:00:00.000Z","date_modified":"2025-04-05T10:32:21.116Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/measuring-and-improving-llm-interpretability-in-your-product","url":"https://www.adaline.ai/blog/measuring-and-improving-llm-interpretability-in-your-product","external_url":"https://www.adaline.ai/blog/measuring-and-improving-llm-interpretability-in-your-product","title":"Measuring and Improving LLM Interpretability in Your Product","summary":"Understanding AI Decision-Making: A Framework for Transparent Large Language Models","content_text":"Understanding AI Decision-Making: A Framework for Transparent Large Language Models","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-03-24T00:00:00.000Z","date_modified":"2026-03-19T15:24:19.027Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-llm-inference-optimization","url":"https://www.adaline.ai/blog/what-is-llm-inference-optimization","external_url":"https://www.adaline.ai/blog/what-is-llm-inference-optimization","title":"What is LLM Inference Optimization: Techniques and Implementation Guide","summary":"A Comprehensive Framework for Balancing Performance, Cost, and Quality in Large Language Model Deployment","content_text":"A Comprehensive Framework for Balancing Performance, Cost, and Quality in Large Language Model Deployment","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-03-23T00:00:00.000Z","date_modified":"2026-03-19T16:14:13.073Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-interpretability-frameworks","url":"https://www.adaline.ai/blog/llm-interpretability-frameworks","external_url":"https://www.adaline.ai/blog/llm-interpretability-frameworks","title":"LLM Interpretability Frameworks","summary":"Practical Frameworks for AI Product Teams","content_text":"Practical Frameworks for AI Product Teams","image":"https://a-us.storyblok.com/f/1023026/2912x1632/6dd9b16cbd/tips-02.png","date_published":"2025-03-22T00:00:00.000Z","date_modified":"2026-03-19T15:06:29.784Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/optimizing-llm-inference-hardware-for-your-ai-products","url":"https://www.adaline.ai/blog/optimizing-llm-inference-hardware-for-your-ai-products","external_url":"https://www.adaline.ai/blog/optimizing-llm-inference-hardware-for-your-ai-products","title":"Optimizing LLM Inference Hardware for Your AI Products","summary":"Key Sections for LLM Inference Hardware","content_text":"Key Sections for LLM Inference Hardware","image":"https://a-us.storyblok.com/f/1023026/2912x1632/d8e263cbea/tips-03.png","date_published":"2025-03-21T00:00:00.000Z","date_modified":"2026-03-19T16:15:53.770Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-prompt-caching-how-can-product-managers-leverage-it-to-develop-user-friendly-products","url":"https://www.adaline.ai/blog/what-is-prompt-caching-how-can-product-managers-leverage-it-to-develop-user-friendly-products","external_url":"https://www.adaline.ai/blog/what-is-prompt-caching-how-can-product-managers-leverage-it-to-develop-user-friendly-products","title":"What is prompt caching? How can product managers leverage it to develop user-friendly products?","summary":"A comprehensive review with Anthropic implementation.","content_text":"A comprehensive review with Anthropic implementation.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/3cb9ce7050/research-04.png","date_published":"2025-03-20T00:00:00.000Z","date_modified":"2025-03-22T09:37:05.078Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/building-reasoning-llm-in-google-colab","url":"https://www.adaline.ai/blog/building-reasoning-llm-in-google-colab","external_url":"https://www.adaline.ai/blog/building-reasoning-llm-in-google-colab","title":"Building Reasoning LLM in Google Colab","summary":"A comprehensive guide for product managers on how to get started with DeepSeek","content_text":"A comprehensive guide for product managers on how to get started with DeepSeek","image":"https://a-us.storyblok.com/f/1023026/2912x1632/34181f5bb6/research-01.png","date_published":"2025-03-19T00:00:00.000Z","date_modified":"2026-03-26T11:56:27.905Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/why-llm-interpretability-matters-for-product-success","url":"https://www.adaline.ai/blog/why-llm-interpretability-matters-for-product-success","external_url":"https://www.adaline.ai/blog/why-llm-interpretability-matters-for-product-success","title":"Why LLM Interpretability Matters for Product Success","summary":"Understanding Technical Approaches to Model Transparency and Their Implementation in Production Systems","content_text":"Understanding Technical Approaches to Model Transparency and Their Implementation in Production Systems","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-03-18T00:00:00.000Z","date_modified":"2026-03-19T14:51:37.626Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-batch-inference","url":"https://www.adaline.ai/blog/llm-batch-inference","external_url":"https://www.adaline.ai/blog/llm-batch-inference","title":"Understanding LLM Batch Inference","summary":"The Key to Efficient AI Products","content_text":"The Key to Efficient AI Products","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2d1ee9fed1/research-08.png","date_published":"2025-03-17T00:00:00.000Z","date_modified":"2026-03-19T16:08:05.032Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-prompt-injection-attacks-and-how-to-mitigate-them","url":"https://www.adaline.ai/blog/understanding-prompt-injection-attacks-and-how-to-mitigate-them","external_url":"https://www.adaline.ai/blog/understanding-prompt-injection-attacks-and-how-to-mitigate-them","title":"Understanding Prompt Injection Attacks and How to Mitigate Them","summary":"Essential Prompt Injection Security Strategies","content_text":"Essential Prompt Injection Security Strategies","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-03-16T00:00:00.000Z","date_modified":"2025-03-27T16:34:08.744Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-recursive-prompting","url":"https://www.adaline.ai/blog/what-is-recursive-prompting","external_url":"https://www.adaline.ai/blog/what-is-recursive-prompting","title":"Using Recursive Prompting for Improved AI Outputs","summary":"How recursive prompting could benefit product managers","content_text":"How recursive prompting could benefit product managers","image":"https://a-us.storyblok.com/f/1023026/2912x1632/189451d86e/tips-05.png","date_published":"2025-03-15T00:00:00.000Z","date_modified":"2025-03-27T15:14:56.224Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-persona-based-prompting","url":"https://www.adaline.ai/blog/what-is-persona-based-prompting","external_url":"https://www.adaline.ai/blog/what-is-persona-based-prompting","title":"What is Persona-Based Prompting?","summary":"A Product Manager's Guide to Customizing AI Behavior","content_text":"A Product Manager's Guide to Customizing AI Behavior","image":"https://a-us.storyblok.com/f/1023026/2912x1632/6dd9b16cbd/tips-02.png","date_published":"2025-03-14T00:00:00.000Z","date_modified":"2025-03-27T14:04:34.030Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/optimizing-llm-inference","url":"https://www.adaline.ai/blog/optimizing-llm-inference","external_url":"https://www.adaline.ai/blog/optimizing-llm-inference","title":"Optimizing LLM Inference: Hardware Choices, Cost Reduction, and Advanced Technique","summary":"What Product Leaders should know to optimize LLM inference","content_text":"What Product Leaders should know to optimize LLM inference","image":"https://a-us.storyblok.com/f/1023026/2912x1632/070329819d/research-02.png","date_published":"2025-03-13T00:00:00.000Z","date_modified":"2026-03-19T16:03:30.788Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/technical-implementation-of-llm-evaluation-systems","url":"https://www.adaline.ai/blog/technical-implementation-of-llm-evaluation-systems","external_url":"https://www.adaline.ai/blog/technical-implementation-of-llm-evaluation-systems","title":"Technical Implementation of LLM Evaluation Systems","summary":"Systematic Detection of Quality Drift in Production Models","content_text":"Systematic Detection of Quality Drift in Production Models","image":"https://a-us.storyblok.com/f/1023026/2912x1632/6dd9b16cbd/tips-02.png","date_published":"2025-03-12T00:00:00.000Z","date_modified":"2025-03-27T11:00:27.231Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/building-an-effective-llm-evaluation-framework","url":"https://www.adaline.ai/blog/building-an-effective-llm-evaluation-framework","external_url":"https://www.adaline.ai/blog/building-an-effective-llm-evaluation-framework","title":"Building an Effective LLM Evaluation Framework That Actually Delivers Value","summary":"A Comprehensive Guide to Measuring What Matters for Business Impact","content_text":"A Comprehensive Guide to Measuring What Matters for Business Impact","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-03-11T00:00:00.000Z","date_modified":"2025-03-27T08:35:55.640Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/technical-approaches-to-llm-evaluation-for-ai-applications","url":"https://www.adaline.ai/blog/technical-approaches-to-llm-evaluation-for-ai-applications","external_url":"https://www.adaline.ai/blog/technical-approaches-to-llm-evaluation-for-ai-applications","title":"Technical Approaches to LLM Evaluation for AI Applications ","summary":"Understanding the benchmarks for product implementation","content_text":"Understanding the benchmarks for product implementation","image":"https://a-us.storyblok.com/f/1023026/2912x1632/d8e263cbea/tips-03.png","date_published":"2025-03-10T00:00:00.000Z","date_modified":"2025-03-26T16:29:38.859Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-evaluation-benchmarks-that-drive-product-excellence","url":"https://www.adaline.ai/blog/llm-evaluation-benchmarks-that-drive-product-excellence","external_url":"https://www.adaline.ai/blog/llm-evaluation-benchmarks-that-drive-product-excellence","title":"LLM Evaluation Benchmarks That Drive Product Excellence","summary":"Strategic LLM Benchmarking for Product Excellence","content_text":"Strategic LLM Benchmarking for Product Excellence","image":"https://a-us.storyblok.com/f/1023026/2912x1632/6dd9b16cbd/tips-02.png","date_published":"2025-03-09T00:00:00.000Z","date_modified":"2025-03-26T14:07:01.848Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/implementing-effective-llm-evaluation-systems","url":"https://www.adaline.ai/blog/implementing-effective-llm-evaluation-systems","external_url":"https://www.adaline.ai/blog/implementing-effective-llm-evaluation-systems","title":"Implementing Effective LLM Evaluation Systems","summary":"A Technical Guide for Product Leaders","content_text":"A Technical Guide for Product Leaders","image":"https://a-us.storyblok.com/f/1023026/2912x1632/189451d86e/tips-05.png","date_published":"2025-03-08T00:00:00.000Z","date_modified":"2025-03-26T11:29:41.723Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/the-product-manager-s-guide-to-llm-output-evaluation","url":"https://www.adaline.ai/blog/the-product-manager-s-guide-to-llm-output-evaluation","external_url":"https://www.adaline.ai/blog/the-product-manager-s-guide-to-llm-output-evaluation","title":" The Product Manager's Guide to LLM Output Evaluation","summary":"Introduction to LLM Evaluation for Product Success","content_text":"Introduction to LLM Evaluation for Product Success","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-03-07T00:00:00.000Z","date_modified":"2026-04-24T22:16:31.027Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-llm-inference","url":"https://www.adaline.ai/blog/what-is-llm-inference","external_url":"https://www.adaline.ai/blog/what-is-llm-inference","title":"What is LLM Inference? ","summary":"LLM Inference Fundamentals: What Product Leaders Need to Know","content_text":"LLM Inference Fundamentals: What Product Leaders Need to Know","image":"https://a-us.storyblok.com/f/1023026/2912x1632/34181f5bb6/research-01.png","date_published":"2025-03-06T00:00:00.000Z","date_modified":"2025-03-26T06:22:30.523Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-the-importance-role-playing-prompts","url":"https://www.adaline.ai/blog/what-is-the-importance-role-playing-prompts","external_url":"https://www.adaline.ai/blog/what-is-the-importance-role-playing-prompts","title":"What Is The Importance Role-Playing Prompts?","summary":"Transforming AI Interactions for Product Success","content_text":"Transforming AI Interactions for Product Success","image":"https://a-us.storyblok.com/f/1023026/2912x1632/d8e263cbea/tips-03.png","date_published":"2025-03-05T00:00:00.000Z","date_modified":"2025-03-24T16:35:17.511Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-prompt-chaining","url":"https://www.adaline.ai/blog/what-is-prompt-chaining","external_url":"https://www.adaline.ai/blog/what-is-prompt-chaining","title":"What is Prompt Chaining?","summary":"A Comprehensive Guide to Breaking Complex Tasks into Manageable Steps for LLMs","content_text":"A Comprehensive Guide to Breaking Complex Tasks into Manageable Steps for LLMs","image":"https://a-us.storyblok.com/f/1023026/2912x1632/3cb9ce7050/research-04.png","date_published":"2025-03-04T00:00:00.000Z","date_modified":"2025-03-22T19:13:27.863Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/the-impact-of-token-limitations-in-prompt-engineering","url":"https://www.adaline.ai/blog/the-impact-of-token-limitations-in-prompt-engineering","external_url":"https://www.adaline.ai/blog/the-impact-of-token-limitations-in-prompt-engineering","title":"The Impact of Token Limitations in Prompt Engineering","summary":"A guide for Product Manager to avoid token limitations in LLM Product Development","content_text":"A guide for Product Manager to avoid token limitations in LLM Product Development","image":"https://a-us.storyblok.com/f/1023026/2912x1632/94a08863aa/research-09.png","date_published":"2025-03-03T00:00:00.000Z","date_modified":"2025-03-22T18:47:15.821Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-temperature-and-top-k-sampling-in-prompt-engineering-how-they-affect-prompts","url":"https://www.adaline.ai/blog/what-is-temperature-and-top-k-sampling-in-prompt-engineering-how-they-affect-prompts","external_url":"https://www.adaline.ai/blog/what-is-temperature-and-top-k-sampling-in-prompt-engineering-how-they-affect-prompts","title":" What Is Temperature And Top-k Sampling In Prompt Engineering?","summary":"A guide for product managers.","content_text":"A guide for product managers.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/3cb9ce7050/research-04.png","date_published":"2025-03-02T00:00:00.000Z","date_modified":"2026-04-09T20:32:56.641Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/how-to-write-a-prompt-in-2025","url":"https://www.adaline.ai/blog/how-to-write-a-prompt-in-2025","external_url":"https://www.adaline.ai/blog/how-to-write-a-prompt-in-2025","title":"How to Write a Prompt in 2025","summary":"The Definitive Guide for Product Teams","content_text":"The Definitive Guide for Product Teams","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-03-01T00:00:00.000Z","date_modified":"2025-03-20T15:18:42.989Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-distillation-explained","url":"https://www.adaline.ai/blog/llm-distillation-explained","external_url":"https://www.adaline.ai/blog/llm-distillation-explained","title":"LLM Distillation Explained","summary":"How knowledge distillation transfers reasoning skills in language models","content_text":"How knowledge distillation transfers reasoning skills in language models","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2d1ee9fed1/research-08.png","date_published":"2025-02-28T00:00:00.000Z","date_modified":"2026-03-19T16:10:14.621Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/how-prompt-engineering-evolved-in-2025-with-reasoning-models","url":"https://www.adaline.ai/blog/how-prompt-engineering-evolved-in-2025-with-reasoning-models","external_url":"https://www.adaline.ai/blog/how-prompt-engineering-evolved-in-2025-with-reasoning-models","title":"How Prompt Engineering Evolved in 2025—and What PMs Need to Know","summary":"Prompt Engineering tips for Product Managers working with reasoning models.","content_text":"Prompt Engineering tips for Product Managers working with reasoning models.","image":"https://a-us.storyblok.com/f/1023026/2912x1632/5c4f26f3e6/tips-04.png","date_published":"2025-02-27T00:00:00.000Z","date_modified":"2025-03-20T08:07:01.402Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/10-prompt-engineering-examples-for-product-leaders","url":"https://www.adaline.ai/blog/10-prompt-engineering-examples-for-product-leaders","external_url":"https://www.adaline.ai/blog/10-prompt-engineering-examples-for-product-leaders","title":"10 Prompt Engineering Examples for Product Leaders ","summary":"10 Ways Product Managers Can Boost Productivity","content_text":"10 Ways Product Managers Can Boost Productivity","image":"https://a-us.storyblok.com/f/1023026/2912x1632/5c4f26f3e6/tips-04.png","date_published":"2025-02-26T00:00:00.000Z","date_modified":"2025-03-21T06:42:02.055Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/prompt-tuning-vs-prompt-engineering","url":"https://www.adaline.ai/blog/prompt-tuning-vs-prompt-engineering","external_url":"https://www.adaline.ai/blog/prompt-tuning-vs-prompt-engineering","title":"Prompt Tuning vs Prompt Engineering","summary":"A Leadership Guide for Seed to Series C Startups","content_text":"A Leadership Guide for Seed to Series C Startups","image":"https://a-us.storyblok.com/f/1023026/2912x1632/6dd9b16cbd/tips-02.png","date_published":"2025-02-25T00:00:00.000Z","date_modified":"2025-03-19T10:39:07.572Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/rag-vs-prompt-engineering","url":"https://www.adaline.ai/blog/rag-vs-prompt-engineering","external_url":"https://www.adaline.ai/blog/rag-vs-prompt-engineering","title":"RAG vs Prompt Engineering","summary":"Key Insights for Product Managers in High-Growth Ventures","content_text":"Key Insights for Product Managers in High-Growth Ventures","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-02-24T00:00:00.000Z","date_modified":"2025-03-18T15:11:56.567Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/fine-tuning-vs-prompt-engineering","url":"https://www.adaline.ai/blog/fine-tuning-vs-prompt-engineering","external_url":"https://www.adaline.ai/blog/fine-tuning-vs-prompt-engineering","title":"Fine Tuning vs Prompt Engineering","summary":"How Early-Stage Founders Can Choose the Right Strategy in 2025","content_text":"How Early-Stage Founders Can Choose the Right Strategy in 2025","image":"https://a-us.storyblok.com/f/1023026/2912x1632/189451d86e/tips-05.png","date_published":"2025-02-23T00:00:00.000Z","date_modified":"2025-03-18T14:40:08.222Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/5-reasons-how-prompt-caching-can-save-time-for-product-managers","url":"https://www.adaline.ai/blog/5-reasons-how-prompt-caching-can-save-time-for-product-managers","external_url":"https://www.adaline.ai/blog/5-reasons-how-prompt-caching-can-save-time-for-product-managers","title":"5 Reasons Why Prompt Caching Can Save Time for Product Managers in 2025","summary":"Maximizing LLM Efficiency for Niche","content_text":"Maximizing LLM Efficiency for Niche","image":"https://a-us.storyblok.com/f/1023026/2912x1632/d8e263cbea/tips-03.png","date_published":"2025-02-22T00:00:00.000Z","date_modified":"2025-03-19T05:24:29.986Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/how-to-set-up-claude-computer-use","url":"https://www.adaline.ai/blog/how-to-set-up-claude-computer-use","external_url":"https://www.adaline.ai/blog/how-to-set-up-claude-computer-use","title":"How to Set Up Claude Computer Use","summary":"A step-by-step implementation guide for secure desktop automation for AI teams","content_text":"A step-by-step implementation guide for secure desktop automation for AI teams","image":"https://a-us.storyblok.com/f/1023026/2912x1632/6dd9b16cbd/tips-02.png","date_published":"2025-02-21T00:00:00.000Z","date_modified":"2026-03-26T11:58:54.058Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/how-to-use-model-context-protocol-by-claude","url":"https://www.adaline.ai/blog/how-to-use-model-context-protocol-by-claude","external_url":"https://www.adaline.ai/blog/how-to-use-model-context-protocol-by-claude","title":"How To Use Model Context Protocol by Claude","summary":"A Developer’s Guide to Claude Integration","content_text":"A Developer’s Guide to Claude Integration","image":"https://a-us.storyblok.com/f/1023026/2912x1632/189451d86e/tips-05.png","date_published":"2025-02-20T00:00:00.000Z","date_modified":"2026-03-26T11:54:19.116Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/how-to-build-cursor-composer-using-openai-api","url":"https://www.adaline.ai/blog/how-to-build-cursor-composer-using-openai-api","external_url":"https://www.adaline.ai/blog/how-to-build-cursor-composer-using-openai-api","title":"What’s Cursor composer? How to build Cursor Composer using OpenAI API?","summary":"A hands-on tutorial to building your own code composer","content_text":"A hands-on tutorial to building your own code composer","image":"https://a-us.storyblok.com/f/1023026/2912x1632/189451d86e/tips-05.png","date_published":"2025-02-19T00:00:00.000Z","date_modified":"2026-03-26T11:58:09.751Z","authors":[{"name":"Nilesh "}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/inside-reasoning-models-openai-o3-and-deepseek-r1","url":"https://www.adaline.ai/blog/inside-reasoning-models-openai-o3-and-deepseek-r1","external_url":"https://www.adaline.ai/blog/inside-reasoning-models-openai-o3-and-deepseek-r1","title":" Inside Reasoning Models OpenAI o3 And DeepSeek R1  ","summary":"Understanding the technical advances in both of these models","content_text":"Understanding the technical advances in both of these models","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2025-02-18T00:00:00.000Z","date_modified":"2025-03-11T21:42:30.495Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/the-complete-path-to-becoming-an-ai-engineer-in-2025","url":"https://www.adaline.ai/blog/the-complete-path-to-becoming-an-ai-engineer-in-2025","external_url":"https://www.adaline.ai/blog/the-complete-path-to-becoming-an-ai-engineer-in-2025","title":"How To Become An AI Engineer In 2026: Skills Roadmap","summary":"Portfolio Development and Interview Strategy","content_text":"Portfolio Development and Interview Strategy","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-02-17T00:00:00.000Z","date_modified":"2026-05-22T21:19:31.678Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-llms-and-tool-calling","url":"https://www.adaline.ai/blog/understanding-llms-and-tool-calling","external_url":"https://www.adaline.ai/blog/understanding-llms-and-tool-calling","title":"Understanding LLMs and Tool Calling","summary":"Enabling AI Automation","content_text":"Enabling AI Automation","image":"https://a-us.storyblok.com/f/1023026/2912x1632/5c4f26f3e6/tips-04.png","date_published":"2025-02-16T00:00:00.000Z","date_modified":"2026-04-09T20:22:42.221Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-embeddings-in-llms","url":"https://www.adaline.ai/blog/understanding-embeddings-in-llms","external_url":"https://www.adaline.ai/blog/understanding-embeddings-in-llms","title":"Understanding Embeddings in Large Language Models","summary":"Mastering embedding techniques for advanced LLM applications","content_text":"Mastering embedding techniques for advanced LLM applications","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2025-02-15T00:00:00.000Z","date_modified":"2026-03-26T10:50:59.688Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-rag-is-it-still-worth-in-2025","url":"https://www.adaline.ai/blog/what-is-rag-is-it-still-worth-in-2025","external_url":"https://www.adaline.ai/blog/what-is-rag-is-it-still-worth-in-2025","title":"What is RAG? Is it still worth in 2025","summary":"From basic architecture to advanced frameworks","content_text":"From basic architecture to advanced frameworks","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2d1ee9fed1/research-08.png","date_published":"2025-02-14T00:00:00.000Z","date_modified":"2025-03-13T12:01:48.275Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-adversarial-prompting-in-llms-and-how-it-can-be-prevented","url":"https://www.adaline.ai/blog/what-is-adversarial-prompting-in-llms-and-how-it-can-be-prevented","external_url":"https://www.adaline.ai/blog/what-is-adversarial-prompting-in-llms-and-how-it-can-be-prevented","title":"What is Adversarial Prompting in LLMs and How it Can Be Prevented","summary":"Understanding and countering adversarial prompts in LLMs","content_text":"Understanding and countering adversarial prompts in LLMs","image":"https://a-us.storyblok.com/f/1023026/2912x1632/d8e263cbea/tips-03.png","date_published":"2025-02-13T00:00:00.000Z","date_modified":"2025-03-13T12:19:59.167Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/llm-benchmarks-overview-limitations-and-model-comparison","url":"https://www.adaline.ai/blog/llm-benchmarks-overview-limitations-and-model-comparison","external_url":"https://www.adaline.ai/blog/llm-benchmarks-overview-limitations-and-model-comparison","title":"LLM Benchmarks: Overview, Limitations and Model Comparison","summary":"Navigating the complex landscape of LLM benchmarks","content_text":"Navigating the complex landscape of LLM benchmarks","image":"https://a-us.storyblok.com/f/1023026/2912x1632/ba8984151b/research-07.png","date_published":"2025-02-12T00:00:00.000Z","date_modified":"2025-03-13T12:12:43.324Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/why-prompt-engineering-is-the-way-into-the-future","url":"https://www.adaline.ai/blog/why-prompt-engineering-is-the-way-into-the-future","external_url":"https://www.adaline.ai/blog/why-prompt-engineering-is-the-way-into-the-future","title":"Why Prompt Engineering is the way into the Future","summary":"The strategic impact of Prompt Engineering in modern AI systems","content_text":"The strategic impact of Prompt Engineering in modern AI systems","image":"https://a-us.storyblok.com/f/1023026/2912x1632/5c4f26f3e6/tips-04.png","date_published":"2025-02-11T00:00:00.000Z","date_modified":"2025-03-12T14:36:50.846Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/best-ai-code-editors-2025","url":"https://www.adaline.ai/blog/best-ai-code-editors-2025","external_url":"https://www.adaline.ai/blog/best-ai-code-editors-2025","title":"Best AI code editors 2025","summary":"We selected the best AI for coding for you","content_text":"We selected the best AI for coding for you","image":"https://a-us.storyblok.com/f/1023026/2912x1632/d8e263cbea/tips-03.png","date_published":"2025-02-10T00:00:00.000Z","date_modified":"2026-03-26T11:59:51.398Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/best-practices-for-prompts-engineering-in-2025","url":"https://www.adaline.ai/blog/best-practices-for-prompts-engineering-in-2025","external_url":"https://www.adaline.ai/blog/best-practices-for-prompts-engineering-in-2025","title":"Best Practices for Prompts Engineering in 2025","summary":"A guide for Product Manager working with reasoning LLMs","content_text":"A guide for Product Manager working with reasoning LLMs","image":"https://a-us.storyblok.com/f/1023026/2912x1632/5c4f26f3e6/tips-04.png","date_published":"2025-02-09T00:00:00.000Z","date_modified":"2025-03-20T08:34:30.700Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understanding-grpo","url":"https://www.adaline.ai/blog/understanding-grpo","external_url":"https://www.adaline.ai/blog/understanding-grpo","title":"Understanding GRPO and how GRPO is changing LLM Training","summary":"DeepSeek-R1's breakthrough reinforcement learning approach","content_text":"DeepSeek-R1's breakthrough reinforcement learning approach","image":"https://a-us.storyblok.com/f/1023026/2912x1632/94a08863aa/research-09.png","date_published":"2025-02-08T00:00:00.000Z","date_modified":"2026-04-01T09:27:07.709Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-reflection-in-ai","url":"https://www.adaline.ai/blog/what-is-reflection-in-ai","external_url":"https://www.adaline.ai/blog/what-is-reflection-in-ai","title":"Understanding Reflection in AI","summary":"How AI Systems Self-Improve","content_text":"How AI Systems Self-Improve","image":"https://a-us.storyblok.com/f/1023026/2912x1632/34181f5bb6/research-01.png","date_published":"2025-02-07T00:00:00.000Z","date_modified":"2026-04-09T20:27:05.080Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/top-ai-podcasts-for-product-managers-in-2025","url":"https://www.adaline.ai/blog/top-ai-podcasts-for-product-managers-in-2025","external_url":"https://www.adaline.ai/blog/top-ai-podcasts-for-product-managers-in-2025","title":"Top AI Podcasts for Product Managers in 2025","summary":"Strategic voices for navigating the AI product landscape","content_text":"Strategic voices for navigating the AI product landscape","image":"https://a-us.storyblok.com/f/1023026/2912x1632/6dd9b16cbd/tips-02.png","date_published":"2025-02-06T00:00:00.000Z","date_modified":"2026-03-26T12:00:44.618Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/top-ai-tools-for-research-in-2025","url":"https://www.adaline.ai/blog/top-ai-tools-for-research-in-2025","external_url":"https://www.adaline.ai/blog/top-ai-tools-for-research-in-2025","title":"Top AI tools for research in 2025","summary":"A Comprehensive Guide For Product Teams Building LLM-Powered Features","content_text":"A Comprehensive Guide For Product Teams Building LLM-Powered Features","image":"https://a-us.storyblok.com/f/1023026/2912x1632/933b95e201/tips-01.png","date_published":"2025-02-05T00:00:00.000Z","date_modified":"2026-03-26T12:01:25.198Z","authors":[{"name":"Nilesh Barla"}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-prompt-engineering","url":"https://www.adaline.ai/blog/what-is-prompt-engineering","external_url":"https://www.adaline.ai/blog/what-is-prompt-engineering","title":"An Introduction to Prompt Engineering for Product Managers in 2025","summary":"A guide for Product Manager to get started","content_text":"A guide for Product Manager to get started","image":"https://a-us.storyblok.com/f/1023026/2912x1632/189451d86e/tips-05.png","date_published":"2025-02-04T00:00:00.000Z","date_modified":"2025-03-20T08:38:38.404Z","authors":[{"name":"Nilesh "}],"tags":["Tips","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/understading-test-time-compute-for-llms","url":"https://www.adaline.ai/blog/understading-test-time-compute-for-llms","external_url":"https://www.adaline.ai/blog/understading-test-time-compute-for-llms","title":"Understanding Test-Time Compute for superior LLM outputs","summary":"How adaptive reasoning resources are revolutionizing model performance and efficiency in complex problem-solving","content_text":"How adaptive reasoning resources are revolutionizing model performance and efficiency in complex problem-solving","image":"https://a-us.storyblok.com/f/1023026/2912x1632/2a8d2e0884/research-03.png","date_published":"2025-02-03T00:00:00.000Z","date_modified":"2025-04-16T17:30:39.546Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-tree-of-thought-for-llms","url":"https://www.adaline.ai/blog/what-is-tree-of-thought-for-llms","external_url":"https://www.adaline.ai/blog/what-is-tree-of-thought-for-llms","title":"What is Tree of Thought?","summary":"A technical analysis of ToT framework implementation, methodology, and corporate applications in the post-GPT era","content_text":"A technical analysis of ToT framework implementation, methodology, and corporate applications in the post-GPT era","image":"https://a-us.storyblok.com/f/1023026/2912x1632/070329819d/research-02.png","date_published":"2025-02-02T00:00:00.000Z","date_modified":"2025-04-15T17:38:16.642Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]},{"id":"https://www.adaline.ai/blog/what-is-chain-of-thought-reasoning-in-llms","url":"https://www.adaline.ai/blog/what-is-chain-of-thought-reasoning-in-llms","external_url":"https://www.adaline.ai/blog/what-is-chain-of-thought-reasoning-in-llms","title":"Chain-of-Thought Reasoning in LLMs: Techniques, Evolution, and Real-World Application","summary":"How Chain-of-Thought reasoning enhances AI problem-solving capabilities","content_text":"How Chain-of-Thought reasoning enhances AI problem-solving capabilities","image":"https://a-us.storyblok.com/f/1023026/2912x1632/34181f5bb6/research-01.png","date_published":"2025-02-01T00:00:00.000Z","date_modified":"2025-04-24T19:57:49.262Z","authors":[{"name":"Nilesh Barla"}],"tags":["Research","Adaline","AI agent observability","agent evals","self-improving agents"]}]}