Weijie Su: How Statistics Can Advance Large Language Models: Fairness Alignment and Watermarking
57:29
Emmanuel Candès: Statistical methods for assessing the factual accuracy of large language models
57:45
Visualizing transformers and attention | Talk for TNG Big Tech Day '24
53:35
Nathaniel O’Connell: A Comparison of Methods of Cross-Validation for Small Data
58:02
Andrej Risteski: The statistical cost of score-based losses
1:44:31
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
1:37:37
The Turing Lectures: The future of generative AI
1:03:52
Jing Lei: Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
1:04:47