s of Python exercises and solutions, also generated by GPT-3.5.

The authors also discuss the emergent properties of phi-1, comparing it with a smaller model trained with the same pipeline. They find that the number of parameters plays a key role in the emergence of these properties.

In conclusion, the paper demonstrates that high-quality data can significantly improve the performance of large language models for code, while dramatically reducing the dataset size and training compute. This approach could p