27:02

Dark side of modern AI: adversarial vulnerability of trained neural networks | Igor Farkaš

56:44

Jonathan Berant (Tel Aviv University / Google) / Towards Robust Language Model Post-training

57:45

Visualizing transformers and attention | Talk for TNG Big Tech Day '24

28:18

Fine-tuning Large Language Models (LLMs) | w/ Example Code

26:47

A comparative study of single-cell and population frameworks | Pavol Bokes

1:49:41

Everything You Wanted to Know About LLM Post-Training, with Nathan Lambert of Allen Institute for AI

1:37:47

Yann Dubois: Scalable Evaluation of Large Language Models

1:16:15

Stanford CS224N | 2023 | Lecture 10 - Prompting, Reinforcement Learning from Human Feedback