Getting Modular with Language Models: Building, Reusing a Library of Experts for Task Generalization Published 2024-03-11 Download video MP4 360p Download video MP4 720p Recommendations 10:24 Training Your Own AI Model Is Not As Hard As You (Probably) Think 21:33 The Difficult Birth of the Scanning Electron Microscope 25:20 Simple Introduction to Large Language Models (LLMs) 1:06:56 Large Language Models and The End of Programming - CS50 Tech Talk with Dr. Matt Welsh 11:37 What is RAG? (Retrieval Augmented Generation) 52:03 Keynote Fifteen years of formal methods at AWS Marc Brooker, Amazon AWS 05:06 What's new in AutoGen? 51:06 Fine-tune Multi-modal LLaVA Vision and Language Models 40:43 Research Forum 2 | Panel Discussion: Transforming the Natural Sciences with AI 59:48 [1hr Talk] Intro to Large Language Models 16:22 Research Forum 2 | Keynote: The Revolution in Scientific Discovery 1:07:34 Connectivity is a thing, is THE thing 1:05:35 CS50 Lecture by Mark Zuckerberg - 7 December 2005 1:19:27 Stanford CS25: V3 I Retrieval Augmented Language Models 46:02 What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata 09:33 Is Excel Dead? Meet the ChatGPT Data Analyst. 49:47 “What's wrong with LLMs and what we should be building instead” - Tom Dietterich - #VSCF2023 05:35 Augmenting Human Cognition and Decision Making with AI 53:52 GPT-4 - How does it work, and how do I build apps with it? - CS50 Tech Talk Similar videos 00:36 How much does an AI ENGINEER make? 26:19 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition 2:12:42 Efficient Large-Scale AI Workshop | Session 1: Skills acquisition and new capabilities 25:37:26 PyTorch for Deep Learning & Machine Learning – Full Course 59:23 Building ML Models like Open-Source Software - Colin Raffel | Stanford MLSys #72 56:23 Albert Cohen: Herding Tensor Compilers 49:48 2023 LLVM Dev Mtg - Mojo 🔥: A system programming language for heterogenous computing 1:13:06 Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21 2:38:20 L11 Language Models -- guest instructor: Alec Radford (OpenAI) --- Deep Unsupervised Learning SP20 48:48 Lessons Learned Applying Natural Language Processing for AI in Healthcare 5:16:21 CVPR 2023 MVCS workshop recording 18:00:35 Machine Learning with Python and Scikit-Learn – Full Course 1:02:32 Building Machine Learning Pipeline for Large Language Models (LLMs) 1:49:11 WE MUST ADD STRUCTURE TO DEEP LEARNING BECAUSE... 24:55 The Continuum Platform: Advanced Analytics and Web-base... 2:26:26 Inside the Lab: Building for the metaverse with AI (2022) | AI at Meta 1:26:46 Voyager - An LLM-based curriculum generator, actor and critic, with skill reuse in Minecraft! 49:39 Sourcegraph | Become a Better Android Developer with Examples and... - Beyang Liu | 2017 46:50 Zebra DevTalk | Democratizing the World of Machine Learning | December 2018 More results