Edge 345: Deep Diving Into Reinforcement Learning with Human Feedback
Details about the most important fine-tuning technique ever created.
💡 ML Concept of the Day: Reinforcement Learning with Human Feedback
Continuing our series about fine-tuning in foundation models, today we would like to cover what can be considered the most popular fine-tuning method ever built. Reinforcement learning with human feedback(RLHF) became a phenomenon after it enable the transition from GPT-3 to ChatGPT. RLHF, often termed "RL from human preferences." This approach has its complexities, primarily because it unfolds in multiple stages. Let me simplify it for you in three straightforward steps: