
Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - #671
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Metrics and Emergence in LLMs
This chapter explores the interplay between linear and nonlinear metrics in analyzing emergent behaviors in large language models, stressing the importance of metric selection in shaping research interpretations. It highlights the complexities of 'emergentness' and calls for careful consideration of context when making claims about model behaviors in AI research.
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