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Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
Manage episode 412923929 series 2355587
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.
719 episodes
Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Manage episode 412923929 series 2355587
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.
719 episodes
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