AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Reinforcement Learning in Language Models
This chapter explores the transformative role of reinforcement learning (RL) in developing language models, focusing on techniques like RL from human feedback (RLHF). They discuss the limitations of current dialogue systems and propose ways to enhance conversational goals through strategic reasoning. The conversation also highlights innovative applications of RL in improving interactions and explorations in language processing.
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