🧠 Training on code improves LLM performance on non-coding tasks

Incorporating code data into the pre-training of large language models significantly improves their performance on non-coding tasks. The research shows benefits in areas like natural language reasoning, world knowledge, and generative tasks. Key findings indicate that a balanced mix of code and text and the inclusion of Show more