Lépjen offline állapotba az Player FM alkalmazással!
Reward Models | Data Brew | Episode 40
Manage episode 472480859 series 2814833
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/
44 epizódok
Manage episode 472480859 series 2814833
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/
44 epizódok
Minden epizód
×Üdvözlünk a Player FM-nél!
A Player FM lejátszó az internetet böngészi a kiváló minőségű podcastok után, hogy ön élvezhesse azokat. Ez a legjobb podcast-alkalmazás, Androidon, iPhone-on és a weben is működik. Jelentkezzen be az feliratkozások szinkronizálásához az eszközök között.