PyTorch

FlexAttention: PyTorch Compiler Series

Inside torch.compile Guards: How They Work, What They Cost, & Ways to Optimize, PyTorch Compiler

Real-World Robotics as the Next Frontier for AI? - Pierre Rouanet, Pollen Robotics

Welcome & Opening Remarks - Matt White, Linux Foundation

Multimodal Open Source at Kyutai, From Online Demos to On-Device - Alexandre Défossez

Best Practices for Open Multilingual LLM Evaluation - Catherine Arnett, EleutherAI

Llama 4 - Christian Keller, Meta

Scaling LLM Inference with vLLM - Erwan Gallen & Eldar Kurtic, Red Hat

Advancing Mamba in PyTorch - Garrett Goon, IBM

Lightning Thunder: Supercharged PyTorch for Modern Hardware - Luca Antiga, Lightning AI

Teaching Mistral to Reason: Post-Training with PyTorch and NVIDIA - Meriem Bendris, NVIDIA

TorchCodec: The Media Decoding Library for PyTorch - Nicolas Hug, Meta

The Ultra-Scale Talk: Scaling Training to Thousands of GPUs - Nouamane Tazi, Hugging Face

DeepSpeed – Efficient Training Scalability for Deep Learning Models - Olatunji Ruwase, SnowFlake

PyTorch x Transformers Journey: Pablo Montalvo, Hugging Face

Beat GPT 4 & Build the Best AI For You- Paul Yang, Runhouse

Harnessing Common Crawl for AI and ML Applications - Pedro Ortiz Suarez, Common Crawl

Exporting an Image-to-Video Model (Example), PyTorch Compiler Series Episode 4

Draft Export - PyTorch Compiler Series Episode 3

Provenance Tracking for Inductor - PyTorch Compiler Series Episode 2

Programming Model for Export - PyTorch Compiler Series Episode 1

PyTorch Expert Exchange Hacker Cup AI

PyTorch Conference 2024 Highlights

Together Goes Brrr: Threading Research & Production with Torch Compile - Pragaash Ponnusamy

Lightning Talk: Low Precision Dtypes in PyTorch - Vasiliy Kuznetsov, Meta

Running State-of-Art Gen AI Models on-Device with NPU Acceleration - Felix Baum, Qualcomm

Sponsored Session: NeMo-Aligner: A Scalable Toolkit for Model Alignment - Gerald Shen & Jimmy Zhang

[TVM] Universally Deploy Large-language Models via ML Compilation - Tianqi Chen, CMU & OctoAI

Lightning Talk: Sparsifying Vision Transformers with Minimal Accuracy Loss - Jesse Cai, Meta

State of PyTorch - Ji Li & Damien Sereni, Meta