Paper Review, Deep Learning, Rlhf, Llm, NLP.
discrepancy between the feedback and the model’s predictions. Optimizing the Policy with RL: The final step is to fine-tune the base model using reinforcement learning, maximizing a specific function that also may include regularization. RLHF’s advantages include its ability to enable communication