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Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - #671

2024-02-12 · 66 min · episode 671 · 16 entities

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    Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - #671
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companys 7

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  • mentioned Stanford University company
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    professor at Stanford University
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    Feed category: Technology
  • works at Stanford University company
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    evidence rules-v4
    professor at Stanford University
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    evidence rules-v4
    professor at Stanford University
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persons 3

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    Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - #671
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    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington

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Episode description as stored
Today we’re joined by Sanmi Koyejo, assistant professor at Stanford University, to continue our NeurIPS 2024 series. In our conversation, Sanmi discusses his two recent award-winning papers. First, we dive into his paper, “Are Emergent Abilities of Large Language Models a Mirage?”. We discuss the different ways LLMs are evaluated and the excitement surrounding their“emergent abilities” such as the ability to perform arithmetic Sanmi describes how evaluating model performance using nonlinear metrics can lead to the illusion that the model is rapidly gaining new capabilities, whereas linear metrics show smooth improvement as expected, casting doubt on the significance of emergence. We continue on to his next paper, “DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models,” discussing the methodology it describes for evaluating concerns such as the toxicity, privacy, fairness, and robustness of LLMs. The complete show notes for this episode can be found at twimlai.com/go/671.