LATS (Language Agent Tree Search) - current best codegen approach

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this is more sharing cool research than a specific feature idea, but this paper https://arxiv.org/pdf/2310.04406v2.pdf about LATS (Language Agent Tree Search) documents the current winner of this code gen leaderboard (LATS + GPT-4)

no idea how hard that would be to implement in cursor, just thought it would be fun to share.

for all the wizards on here that are way smarter than me, would be fun to hear your thoughts!

(repo: GitHub - andyz245/LanguageAgentTreeSearch: Official repository for paper "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models")

langchain implementation: langgraph/examples/lats/lats.ipynb at main · langchain-ai/langgraph · GitHub

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