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Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680

2024-04-16 · 46 min · episode 680 · 13 entities

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    Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
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Entities found in this episode

concepts 5

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  • discusses Tech News concept
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companys 4

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persons 3

  • mentioned Reinforcement Le person
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    Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
  • mentioned Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
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    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
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.