The Evolution of Reinforcement Fine-Tuning in AI
The Data Exchange with Ben Lorica
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Intro
This chapter delves into reinforcement fine-tuning (RFT), a contemporary technique in machine learning that offers advantages over traditional supervised fine-tuning. It highlights its effectiveness in data-scarce scenarios and showcases its application in code generation, emphasizing incremental performance improvements through reinforcement learning.
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