Arash Ahmadian on Rethinking RLHF

TalkRL: The Reinforcement Learning Podcast

Robin Ranjit Singh Chauhan에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Robin Ranjit Singh Chauhan 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

1+ y ago 33:30

MP3•에피소드 홈

Arash Ahmadian is a Researcher at Cohere and Cohere For AI focussed on Preference Training of large language models. He’s also a researcher at the Vector Institute of AI.

Featured Reference

Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker

Additional References

Self-Rewarding Language Models, Yuan et al 2024
Reinforcement Learning: An Introduction, Sutton and Barto 1992
Learning from Delayed Rewards, Chris Watkins 1989
Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning, Williams 1992

73 에피소드

#Reinforcement Learning #Machine Learning #Robin Ranjit Singh Chauhan #Artificial Intelligence #Tech