This “Smart Coach” Guides LLMs in Transitioning Between Text and Code
Large language models (LLMs) are skilled at using textual reasoning to interpret documents and provide logical responses. However, they often stumble on basic math problems. This is because textual reasoning isn’t ideal for solving computational or algorithmic tasks. While some LLMs can generate code—such as Python for symbolic problems, they frequently struggle to determine when […]
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