Part 6: Training a GPT-like model with DDP (code walkthrough) Published 2022-09-20 Download video MP4 360p Recommendations 1:56:20 Let's build GPT: from scratch, in code, spelled out. 35:53 Official PyTorch Documentary: Powering the AI Revolution 18:31 Testing Frontier LLMs (GPT4) on ARC-AGI 1:12:53 Distributed Training with PyTorch: complete tutorial with cloud infrastructure and code 24:19 A friendly introduction to distributed training (ML Tech Talks) 32:31 How Fully Sharded Data Parallel (FSDP) works? 16:13 Lightning Talk: Triton Compiler - Thomas Raoux, OpenAI 41:55 I learned to code from scratch in 1 year. Here's how. 15:04 How I'd Learn AI (If I Had to Start Over) 30:54 Diffusion models from scratch in PyTorch 39:13 Introduction to PyTorch Tensors 22:07 Introducing ExecuTorch from PyTorch Edge: On-Device AI... - Mergen Nachin & Orion Reblitz-Richardson 05:35 Training on multiple GPUs and multi-node training with PyTorch DistributedDataParallel 09:41 Learn To Code Like a GENIUS and Not Waste Time 1:42:28 CHATGPT DOESN'T REASON! (Top scientist bombshell) 17:07 LoRA explained (and a bit about precision and quantization) Similar videos 10:14 Part 3: Multi-GPU training with DDP (code walkthrough) 01:57 Part 1: Welcome to the Distributed Data Parallel (DDP) Tutorial Series 09:09 Part 5: Multinode DDP Training with Torchrun (code walkthrough) 11:07 Part 4: Multi-GPU DDP Training with Torchrun (code walkthrough) 03:47 PyTorch vs TensorFlow | Ishan Misra and Lex Fridman 27:11 Data Parallelism Using PyTorch DDP | NVAITC Webinar 4:01:26 Let's reproduce GPT-2 (124M) 59:22 minGPT code walkthrough 14:20 How To Train Large Language Models LLM like GPT 4 on PyTorch 2.0 | Distributed Model Training on GPU 37:06 Unlocking PyTorch Through Prompt Engineering, Part 1 00:50 karpathy/minGPT - Gource visualisation 46:16 How to Train a Model with Pytorch 1:08:22 Distributed Data Parallel Model Training in PyTorch 1:01:44 3% of Google code is by a LM, Data Pruning, Prompt Tuning... Trends in AI — August 2022 07:36 PyTorch Distributed: Towards Large Scale Training More results