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Home > Data Brew by Databricks > Reward Models | Data Brew | Episode 40
Podcast: Data Brew by Databricks
Episode:

Reward Models | Data Brew | Episode 40
Category: Technology
Duration: 00:39:58
Publish Date: 2025-03-20 16:00:00
Description:

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 coding, math, reasoning, and other NLP tasks.

Connect with Brandon Cui:
https://www.linkedin.com/in/bcui19/
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