Agents are good at navigating filesystems. With RL, they learn to build new ones in anticipation of other agents' queries, boosting subsequent RAG accuracy from 44% to 77%.
A step towards agents training to work together, supported by the Tinker grants program!
LLMs deployed in specialized domains, from enterprise codebases to law firms, dig through a mountain of unstructured context! Our new paper, Librarian Agents, asks: can an agent adapt by curating its own long-context workspace, anticipating queries before they arrive? 🧵⬇️
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Original title: Agents are good at navigating filesystems. With RL, they learn to build new ones in anticipation of other agents' queries, boosting subs...
