CodeSteer
This “smart coach” helps LLMs switch between text and code
Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical answer about its contents. But these same LLMs often struggle to correctly answer even the simplest math problems. Textual reasoning is usually a less-than-ideal way to deliberate over computational or algorithmic tasks. While some LLMs…