#agents

A story-driven tour of new papers and benchmarks—plus what actually moved the needle in my pipelines, with links and practical takeaways.

Two bugs broke my RAG system last month. The first was self‑inflicted—I nudged top‑k from 8 to 16 “for coverage” and watched answers get longer and less faithful. The second came from a knowledge base that contradicted itself; my agent chee...

How to wrap language models with tools, memory, and guardrails so they can pursue goals safely.

A language model can predict text; an agent can pursue goals. The leap from LLM to agent is architectural, not mystical. In practice, an agent is an LLM wrapped in just enough scaffolding to make decisions, use tools, remember what matters,...