Large Language Models (LLMs) - Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 10 - Post-training by Archit Sharma

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: 1. Zero-Shot (ZS) and Few-Shot (FS) In-Context Learning 2. Instruction fine-tuning 3. Optimizing for human preferences (DPO/RLHF) 4. What’s next? To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs224n-natural-language-processing-deep-learning To follow along with the course schedule and syllabus visit: hhttps://web.stanford.edu/class/archive/cs/cs224n/cs224n.1246/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL)