Lecture 15 - Training Large Models Published 2022-11-08 Download video MP4 360p Recommendations 1:10:48 Lecture 18 - Sequence Modeling and Recurrent Networks 44:20 Lecture - 12 GPU Acceleration 19:40 IPOPT on steroids: fatrop solver in CasADi 42:53 23 - Model Deployment 45:22 Lecture 11 - Hardware Acceleration 1:10:16 Lecture 20 - Transformers and Attention 1:27:41 Programming in Modern C with a Sneak Peek into C23 - Dawid Zalewski - ACCU 2023 1:26:56 Lecture 6 - Fully connected networks, optimization, initialization 28:17 Spectral Graph Theory For Dummies 1:19:42 Lecture 14 - Implementing Convolutions 54:34 Lecture 19 - RNN Implementation 00:21 The Mastermind Behind GPT-4 and the Future of AI## Ilya Sutskever 1:32:01 Diffusion and Score-Based Generative Models 25:20 Large Language Models (LLMs) - Everything You NEED To Know 15:04 Fixing RAG with GraphRAG Similar videos 05:34 How Large language Models Work 59:48 [1hr Talk] Intro to Large Language Models 36:31 Stanford CS25: V4 I Hyung Won Chung of OpenAI 1:16:52 Lecture 15 | Efficient Methods and Hardware for Deep Learning 1:23:26 Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018) 38:01 CS 285: Lecture 15, Part 1: Offline Reinforcement Learning 1:17:25 Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 15 - Add Knowledge to Language Models 1:19:48 Lecture 15 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018 04:53 Train the Trainer - How To Run A Great Training Workshop 1:19:37 Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 15 – Natural Language Generation 54:40 Deep Learning Lecture 15: Deep Reinforcement Learning - Policy search 1:12:32 Lecture 15: Object Detection 54:24 Lecture 15: Structure from Motion 1:56:20 Let's build GPT: from scratch, in code, spelled out. 09:18 Google’s AI Course for Beginners (in 10 minutes)! 05:45 Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn 1:14:50 Stanford CS224N NLP with Deep Learning | Spring 2022 | Guest Lecture: Scaling Language Models 15:01 Illustrated Guide to Transformers Neural Network: A step by step explanation More results