Natural language boosts LLM performance in coding, planning, and robotics - https://news.mit.edu/2024/natural-language-boosts-llm-performance-coding-planning-robotics-0501

MIT CSAIL researchers create three neurosymbolic methods to help language models build libraries of better abstractions within natural language: LILO assists with code synthesis, Ada helps with AI planning, and LGA guides robotic navigation and manipulation.


This is a companion discussion for the article “Natural language boosts LLM performance in coding, planning, and robotics - https://news.mit.edu/2024/natural-language-boosts-llm-performance-coding-planning-robotics-0501” submitted on the community's news feed.
Reply to this topic to share your thoughts on this article.