Stanford CS330 Deep Multi-Task & Meta Learning - Percy Liang Guest Lecture I 2022 I Lecture 17 Published 2023-04-15 Download video MP4 360p Recommendations 1:00:59 What's the future for generative AI? - The Turing Lectures with Mike Wooldridge 55:55 Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024) 1:17:33 Stanford CS330 I Unsupervised Pre-Training:Contrastive Learning l 2022 I Lecture 7 08:47 How to Start a Speech 05:44 How China Is Using Artificial Intelligence in Classrooms | WSJ 18:40 But what is a neural network? | Chapter 1, Deep learning 1:16:53 Yann Lecun | Objective-Driven AI: Towards AI systems that can learn, remember, reason, and plan 57:18 Bill Gates Reveals Superhuman AI Prediction 19:27 The first 20 hours -- how to learn anything | Josh Kaufman | TEDxCSU 1:04:48 Intelligent Thinking About Artificial Intelligence 26:55 ChatGPT: 30 Year History | How AI Learned to Talk 45:46 Geoffrey Hinton | On working with Ilya, choosing problems, and the power of intuition 1:03:43 How to Speak 18:05 How AI 'Understands' Images (CLIP) - Computerphile 1:05:54 Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduction - Emma Brunskill 27:14 But what is a GPT? Visual intro to Transformers | Chapter 5, Deep Learning 1:20:05 Stanford CS330 Deep Multi-Task & Meta Learning - Bayesian Meta-Learning l 2022 I Lecture 12 1:19:27 Stanford CS25: V3 I Retrieval Augmented Language Models 17:50 How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile Similar videos 1:15:49 Stanford CS330 Deep Multi-Task & Meta Learning - Frontiers and Open Challenges I 2022 I Lecture 16 37:07 Percy Liang: Are Foundation Models Castles in the Air? 22:46 Percy Liang | Computer Forum 2019 | April 10 11:56 Stanford's Percy Liang on Foundation Models 33:26 ICLR2015-percy-liang-part1 54:17 Data Exchange Podcast (Episode 163): Percy Liang of Stanford on evaluating language models. 03:18 Understanding Deep Learning and Artificial Intelligence 03:53 Backstage Interview with Percy Liang at AI Frontiers Conference 57:47 Explainable machine learning (2022, 5th lecture): Interpret. by backward prop. + concept discovery 1:25:27 Lecture 8: Wavelengths and colors 57:20 On Drug Addiction in AI, Language Models, and Scaling Academia (with Jan Kirchner) 6:03:16 Workshop on Responsible and Open Foundation Models 29:34 College Of Southern Nevada President Talks Workforce Trends With Councilwoman Nancy Brune 1:35:00 I02 - Interview mit Thilo Hagendorff 06:33 Stanford HAI 2019 - Percy Liang 53:38 No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang 1:26:45 HAI Spring Conference 2022: Foundation Models More results