# Reward Models | Data Brew | Episode 40

Page: https://stenobird.com/podcast/data-brew-by-databricks/reward-models-data-brew-episode-40
Text version: https://stenobird.com/podcast/data-brew-by-databricks/reward-models-data-brew-episode-40.md
Podcast: [Data Brew by Databricks](https://stenobird.com/podcast/data-brew-by-databricks)
Published: 2025-03-20T16:00:00+00:00
Episode link: https://www.buzzsprout.com/1370119/episodes/16181357-reward-models-data-brew-episode-40.mp3
Audio file: https://www.buzzsprout.com/1370119/episodes/16181357-reward-models-data-brew-episode-40.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/data-brew-by-databricks/episodes/reward-models-data-brew-episode-40
Duration seconds: 2398

## Resource

In this episode, Brandon Cui, Research Scientist at MosaicML and Databricks, dives into cutting-edge advancements in AI model optimization, focusing on Reward Models and Reinforcement Learning from Human Feedback (RLHF). Highlights include: - How synthetic data and RLHF enable fine-tuning models to generate preferred outcomes. - Techniques like Policy Proximal Optimization (PPO) and Direct Preference Optimization (DPO) for enhancing response quality. - The role of reward models in improving ...

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## Transcript

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