Embedding Maps: Semantic Smoke and Vectors
Embedding models claim to 'understand' language via invisible maps. Spoiler: They don't. Just fancy math cosplaying as cognition.
Embedding models claim to 'understand' language via invisible maps. Spoiler: They don't. Just fancy math cosplaying as cognition.
Staring at skyrocketing API bills from endless prompt tweaks? Claude's prompt caching might finally hit the brakes. Or it might just be clever vendor lock-in dressed as savings.
Retrieval dashboards lie. BoR metric proves it—your high recall might just be context poison.
Thought RAG was a magic fix for chatty LLMs? Wrong. The retrieval step — that overlooked engine — decides if your system spits gold or garbage.
Modern questions crash into ancient prose. One engineer's clever RAG overhaul makes the Bible searchable like never before.
AI's cranking code quicker than you can type. But without sharp humans steering, it's a recipe for bloated disasters.