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Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
46 minutes
Released:
Apr 16, 2024
Format:
Podcast episode
Description
Today we're joined by Alex Havrilla, a PhD student at Georgia Tech, to discuss "Teaching Large Language Models to Reason with Reinforcement Learning." Alex discusses the role of creativity and exploration in problem solving and explores the opportunities presented by applying reinforcement learning algorithms to the challenge of improving reasoning in large language models. Alex also shares his research on the effect of noise on language model training, highlighting the robustness of LLM architecture. Finally, we delve into the future of RL, and the potential of combining language models with traditional methods to achieve more robust AI reasoning.
The complete show notes for this episode can be found at twimlai.com/go/680.
The complete show notes for this episode can be found at twimlai.com/go/680.
Released:
Apr 16, 2024
Format:
Podcast episode
Titles in the series (100)
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