InArtificial Intelligence in Plain EnglishbySnehal Shinde·Sep 5Deterministic vs Probabilistic: The Decision That Shapes Every AI ProductEvery time I build a new feature for an AI product, I find myself asking the same question:
Himanshu Kale·Jul 2The RAGAS Files: The Evaluation LoopWelcome back to The RAGAS Files. Last time, we filed away the paperwork — SingleTurnSample, MultiTurnSample, EvaluationDataset — the…
Himanshu Kale·Jul 2The RAGAS Files: Anatomy of a SampleWelcome to The RAGAS Files — a series where we put every corner of RAGAS under interrogation until it confesses how it actually works. No…
InABB Data PortalbyNarmin Jabbarli·Jun 9Machine Learning və süni intellekt modellərində metrika seçimi: biznes keyslər üzərindən praktik…Bir müştəri bank tətbiqinə daxil olur. Kredit üçün müraciət edir, təkliflər bölməsində gəzir, depozit hesabı açır.
InNORMAbyAbdellahi MO·Apr 30How Do You Know Your AI Is Actually Good?Everything you need to know about model evaluation — from your first confusion matrix to evaluating AI agents — without the textbook.
Shailendra Bade·Apr 24Why Your Agent Annotation Pipeline Is Quietly Corrupting Your Reward Model — and What to Do About…How standard RLHF preference pairs break for multi-step agents, why inter-annotator agreement collapses, and a three-layer fix that works.
Syntal·Apr 16When Evals Become Company FolkloreWhy stale benchmarks hide model regressions until users notice first
InAgile InsiderbyShailesh Sharma·Apr 13Advanced Evals — Evals for RAGA worked example using Google AI Overviews.
InAgile InsiderbyShailesh Sharma·Mar 25The Ultimate Guide to AI EvalsEverything you need to know about evaluating LLMs, preventing hallucinations, and building robust, production-ready AI systemsA response icon2A response icon2
