Cover Image for LLM Reasoning: Key Ideas and Limitations: A UPenn Lecture | Sponsored by Turing
Cover Image for LLM Reasoning: Key Ideas and Limitations: A UPenn Lecture | Sponsored by Turing
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LLM Reasoning: Key Ideas and Limitations: A UPenn Lecture | Sponsored by Turing

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Abstract: Reasoning has emerged as a central focus in the development of large language models (LLMs). This talk will largely be based on the work from the reasoning team that I founded and lead in Google DeepMind. I will talk about how we started and explored reasoning with LLMs, including the key ideas like chain of thought and self consistency, and the limitations that we have observed.

Bio: Denny Zhou is a Principal Scientist / Research Director at Google DeepMind, where he founded and leads the Reasoning Team. He received the Google Research Tech Impact Award for his work on large language models (LLMs) in 2022, and the WSDM Test of Time Award 2022. He delivered distinguished keynotes at KDD 2023's LLM Day, and the Grand Opening of Yale's Institute for Foundations of Data Science in 2023. He is serving as a General Chair for the Conference on Language Modeling (COLM) 2024.

Avatar for Turing Events
Presented by
Turing Events
Hosted By
54 Went