Reward Models | Data Brew | Episode 40
Data Brew by Databricks
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Navigating Reward Models in Instructional AI
This chapter explores the complexities of utilizing preference data to enhance instruction models through human feedback. It discusses the effectiveness of reward models in diverse applications, from storytelling to data analysis, and the innovative approaches in fine-tuning these models using reinforcement learning. Additionally, the conversation highlights the importance of data quality and the use of advanced optimization techniques to improve model performance and ensure relevance in enterprise settings.
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