#LLM evaluation — theAIcatchup

ADeLe Predicts AI Flops at 88% Accuracy—Microsoft's Clever Benchmark Fix?

88% accuracy predicting where AI will bomb on new tasks. Microsoft's ADeLe sounds revolutionary—until you poke it.

3 min read 1 day, 15 hours ago

Illustration of RAG pipeline highlighting retrieval engine as core component

RAG's Dirty Secret: Retrieval Strategies That Make or Break Your AI

Thought RAG was a magic fix for chatty LLMs? Wrong. The retrieval step — that overlooked engine — decides if your system spits gold or garbage.

4 min read 1 week, 6 days ago

Diagram of four LLM evaluation pillars: multiple-choice, verifiers, leaderboards, and LLM judges with code snippets

LLM Evaluations: Four Flawed Pillars Propping Up AI Hype

LLM benchmarks promise objectivity. They're mostly marketing mirrors reflecting what sells models, not what works.

4 min read 2 weeks ago