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Emmanuel Candès: Statistical methods for assessing the factual accuracy of large language models
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Andrew Gelman: Learning from mistakes
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ICML 2024 Tutorial: Physics of Language Models
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Visualizing transformers and attention | Talk for TNG Big Tech Day '24
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Jing Lei: Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
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Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
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Nathaniel O’Connell: A Comparison of Methods of Cross-Validation for Small Data
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