Sebastian Raschka • 3/31/2024

Tips for LLM Pretraining and Evaluating Reward Models

This article analyzes two key AI research papers. The first covers scalable strategies for the continued pretraining of Large Language Models (LLMs) to update them with new knowledge or adapt them to new domains. The second discusses reward modeling used in Reinforcement Learning from Human Feedback (RLHF) for aligning LLMs with human preferences and complex tasks, including a new benchmark for evaluation.

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#Reinforcement Learning #LLM Pretraining #Reward Modeling