RL Beats SFT In Model Performance: Better Generalization
RL beats SFT in training foundation models like GPT-4, leading to better generalization & less memorization. RL learns through trial & error, while SFT teaches by example.
This is a Plain English Papers summary of a research paper called AI Training Breakthrough: Reinforcement Learning Beats Traditional Methods for Model Performance. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Study comparing supervised fine-tuning (SFT) and reinforcement learning (RL) approaches for training foundation models Shows RL leads to better generalization while SFT tends toward memorization Analyzes performance across various tasks including reasoning and open-ended generation Demonstrates key differences in how models...