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MIT: Natural Language Boosts LLM Performance in Coding, Planning, Robotics
May 03, 2024
CAMBRIDGE, Massachusetts, May 3 (TNSres) -- The Massachusetts Institute of Technology issued the following news:

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Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.

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By Alex Shipps, MIT CSAIL

Large language models (LLMs) are becoming increasingly useful for programming and robotics tasks, but for more complicated rea . . .

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