Summary:
- This article discusses a new machine learning framework called "Prefix-RFT" that combines supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT) techniques.
- The Prefix-RFT framework aims to improve the performance of machine learning models by leveraging the strengths of both SFT and RFT approaches.
- The article explains how Prefix-RFT works and how it can be applied to various machine learning tasks, making it a valuable tool for researchers and developers in the field of artificial intelligence.