Reward Models | Data Brew | Episode 40
Data Brew by Databricks
Understanding Reward Models and Their Training Process
This chapter explores the mechanics behind training reward models using pairwise preferences to improve model responses. It discusses the collection of preference data, the comparison of responses, and how this method offers a practical alternative to traditional instruction fine-tuning in the context of reinforcement learning from human feedback.
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