Browse Lessons

Sponsor Session: Low-Precision Inference without Quality Loss... - Pankaj Gupta & Philip Kiely

Sponsored Session: PyTorch Distributed and Fault Tolerance - Tristan Rice, Meta

The Ultimate Content Strategy | @OmarEltakrori

Find X-Sum of All K-Long Subarrays I - Leetcode 3318 Python

Google’s TPU Advantage: Google Cloud VP on Performance & Cost for Gemini

Using Custom Evaluators During Training | Datawizz

New Way Now: Mobile services get smarter at LG U+ with help from Google AI

Build Intelligent AI Apps: Introduction

Stop Writing Manual Validation Code in Python

The DoD is Buying Satellite Compute from StarCloud

Have you used Langchain before?

Waymo's pursuit of transparency, not perfection, with Tekedra Mawakana | TechCrunch Disrupt 2025

STOP using RAG for Everything, Do this (ft. Tiger Data)

Amazon, OpenAI Strike $38 Billion Nvidia Chip Deal | Bloomberg Tech 11/3/2025

The One $ Bill I'll Never Pay

Will AI Cause a Global Depression? | Simply AI Explained

Transformers: Standardizing Model Definitions Across the PyTorch Ecosystem - L. Debut & A. Zucker

Helion: A High-level DSL for Kernel Authoring - Jason Ansel, Meta

Enabling Lightweight, High-Performance FSDP With NVIDIA GPU - J. Chang CN, C. Ye, X. Chen & S. Lym

Verl: A Flexible and Efficient RL Framework for LLMs - Hongpeng Guo & Ziheng Jiang, ByteDance Seed

Lightning Talk: In-Cluster Distributed Checkpointing: Optimizing Training... - G. Kroiz & S. Mishra

Lightning Talk: FTorch: A Library To Couple PyTorch ML Models With Fortran Climate Models - M Archer

Beyond TorchScript: The Future of C++ Inference in PyTorch - Sherlock Huang, Meta

Keynote: Welcome Back - Matt White, Executive Director, PyTorch Foundation

Serving PyTorch LLMs at Scale: Disaggregated Inference With Kubernetes and Llm-d - M. Ayoub & C. Liu

Monarch: A Distributed Execution Engine for PyTorch - Colin Taylor & Zachary DeVito, Meta

Keynote: Towards Building Safe and Secure Agentic AI - Dawn Song, Professor, UC Berkeley

Lifecycle of a Parameter - Philip Bontrager, Meta

Lightning Talk: Model Checkpoint Compression With OpenZL - Nick Terrell & Teja Rao, Meta

Keynote: Building the Open Agent Ecosystem Together: Introducing OpenEnv- Joe Spisak, Lysandre Debut

Fault Tolerance Training at Pinterest - Chia-Wei Chen & Karthik Anantha Padmanabhan, Pinterest

Lightning Talk: A Stable Limited LibTorch ABI? How?! (and Why?) - Jane Xu, Meta

Lightning Talk: But How Do You Autograd Through Your Simulator? Making a... - R. Dagli & S. Lamba

How Modern PyTorch Supercharges Multimodal Training and Inference at Luma AI - Thomas Neff, Luma AI

Rethinking the Transformer: Toward Native Multimodal Architectures - Bowen Peng, Nous Research

Kimi K2 and Our Contributions to Open Source - Yuxin Wu, Moonshot AI

“Many-model” Time Series Forecasting: Scaling PyTorch Training Across 1000s...- V. Sridhar & S. Chen

Sponsored Session: Powering PyTorch: Decentralized Training for an Energy-Hungry Future - Greg Osuri

Scaling Inference of O(10K)-length Sequence Recommendation Models Using... - S. Joshi & K. Rajesh

Keynote: Welcome Back - Matt White, with Special Guest Joe Spisak, Meta

Lightning Talk: Dynamic Shape Recompilations - Bob Ren, Meta

Optimizing Long-Tail and MoE Challenges in Reinforcement Learning with SGLang - Chenyang Zhao, UCLA

Maximizing Luck in Reinforcement Learning - Daniel Han, Unsloth

AI On-board of Satellites, Towards Autonomous Scientific Instruments - Vit Ruzicka, NASA

Scaling KV Caches for LLMs: How LMCache + NIXL Handle Network and Storage...- J. Jiang & M. Khazraee

Designing and Building Custom Reinforcement Learning Environments for Fine-tuning LLMs - N. Bantilan

Sponsored Session: Accelerating GenAI Inference: From AWS Deep Learning... - P. Nguyen & A. Zhao

Controllable Generation of Synthetic Video Data With Human Motion - Vaclav Knapp