arrow_back View All Dates
11:10am • Lightning Talk: What’s New in Export? - Angela Yi, Tugsbayasgalan Manlaibaatar, Avik Chaudhuri & Yidi Wu, Meta
11:25am • Lightning Talk: Low Precision Dtypes in PyTorch - Vasiliy Kuznetsov, Meta
11:40am • ExecuTorch Beta and on-Device Generative AI Support - Mergen Nachin & Mengtao (Martin) Yuan, Meta
2:10pm • State of PyTorch - Ji Li & Damien Sereni, Meta
2:40pm • Sponsored Session: Accelerating AI Innovation: High Performance PyTorch at AMD - Robert Suderman & Ian Nordeng, AMD
3:10pm • Lightning Talk: A Whirlwind Tour of PyTorch Extension Points - Alban Desmaison, Meta
3:25pm • Lightning Talk: Extending PyTorch with Custom Python/C++/CUDA Operators - Richard Zou, Meta
4:00pm • Welcome to the PyTorch Ecosystem for LLM Fine-tuning Mini Summit - Kartikay Khandelwal, Meta
4:05pm • The State of the Llama Ecosystem - Joe Spisak, Meta
4:15pm • The Challenges of Building an Opinionated Open Source LLM Framework - Wing Lian, Axolotl AI
4:25pm • Hacks to Make LLM Training Faster - Daniel Han, Unsloth AI
4:35pm • torchtune: Easy and Accessible Finetuning in Native PyTorch - Evan Smothers, Meta
4:45pm • Panel Discussion - Tim Dettmers, AI2/Carnegie Melon; Hailey Schoelkopf, EleutherAI; Aakanksha Chowdhery, Meta; Alexis Conneau, OpenAI; Moderated by Kartikay Khandelwal, Meta
11:10am • Sponsored Session: NeMo-Aligner: A Scalable Toolkit for Model Alignment - Gerald Shen & Jimmy Zhang, NVIDIA
11:40am • Lightning Talk: HieroGlyph2Text: A PyTorch-Powered Pipeline for Automated Egyptian Hieroglyph Translation from Image - Susi Gentsch, University of Bonn
11:55am • Lightning Talk: Mobile Computational Photography with PyTorch: Low-Light Denoising - Alexis Baudron, Sony
2:10pm • Maximizing Training Throughput Using Torch.Compile and FSDP - Linsong Chu & Antoni Viros i Martin, IBM Research; Brian Vaughan, IBM
2:40pm • Running State-of-Art Gen AI Models on-Device with NPU Acceleration - Felix Baum, Qualcomm
3:10pm • TorchInductor CPU Backend Advancements: New Features and Performance Improvements - Jiong Gong & Leslie Fang, Intel
4:00pm • [HALIDE] A Halide Backend for TorchInductor - Jason Ansel, Meta
4:10pm • [MLIR] Enabling Composition of Kernels and Compilers - Jacques Pienaar, Google
4:20pm • [TRITON] Maximizing Kernel Development Productivity Under Performance Constraints - Philip Tillet, OpenAI
4:30pm • [TVM] Universally Deploy Large-language Models via ML Compilation - Tianqi Chen, CMU & OctoAI
4:40pm • [MOJO] Lifting PT to New Heights with MAX and Mojo - Mikhail Zolotukhin, Modular
4:50pm • Together Goes Brrr: Threading Research & Production with Torch Compile - Pragaash Ponnusamy, together.ai
5:00pm • DL Compiler Panel Discussion - Philip Tillet, OpenAI; Jason Ansel, Meta; Jacques Pienaar, Google; Tianqi Chen, CMU & OctoAI; Mikhail Zolotukhin, Modular; Peng Wu, Meta
9:00am • Keynote: Welcome & Opening Remarks - Matt White, Executive Director, PyTorch Foundation
9:12am • Keynote: PyTorch Technical Deep Dive - Piotr Bialecki, NVIDIA; Peng Wu, Will Constable, Kartikay Khandelwal & Mengtao (Martin) Yuan, Meta
10:14am • Keynote: Open Language Models (OLMo): Accelerating the Science of Language Modeling - Hanna Hajishirzi, Senior Director NLP Research, Allen Institute for AI
10:30am • Keynote: Enabling Generative AI on the Edge - Cormac Brick, Principal Engineer, Google
1:15pm • Sponsored Keynote: The Lightning AI OSS Stack for Accelerating the AI Lifecycle - Luca Antiga, CTO, Lightning AI
1:20pm • Sponsored Keynote: Enabling AI Everywhere with PyTorch and Intel - Kismat Singh,VP of Engineering for AI Frameworks, Intel
1:30pm • Sponsored Keynote: From Containers to Cognition: Conducting the AI Orchestra - Taylor Dolezal, Head of Ecosystem, Cloud Native Computing Foundation
1:35pm • Keynote Panel Discussion: Responsible AI - Kate Rooney, CNBC; Kush Varshney, IBM T. J. Watson Research Center; Sara Hooker, C4AI; Aleksander Madry, OpenAI; Rishi Bommasani, Stanford University
11:10am • Meta Llama 3 and the Future of Responsible AI Development - Spencer Whitman & Vincent Gonguet, Meta
11:40am • Building Scientific Computing Infrastructure Software with the PyTorch Ecosystem - Bharath Ramsundar, Deep Forest Sciences
2:10pm • The Impact and Challenges of Open Source Generative Datasets and Models - Aaron Gokaslan, Cornell University
2:40pm • Lightning Talk: Beyond Zero: Eliminating Vulnerabilities in PyTorch Container Images - Patrick Smyth, Dan Fernandez & Srishti Hegde, Chainguard
2:55pm • Lightning Talk: Sparsifying Vision Transformers with Minimal Accuracy Loss - Jesse Cai, Meta
3:10pm • Lightning Talk: PyTorch/XLA Auto-Sharding - Yeounoh Chung, Google
3:25pm • Lightning Talk: Introduction to Torch.Distributed.Pipelining - Howard Huang & Ke Wen, Meta
4:00pm • Lightning Talk: On-Device Profiling and Debugging with ExecuTorch - Olivia Liu & Vaun Puri, Meta
4:15pm • Lightning Talk: In-Transit Machine Learning Using PyTorch on Frontier Exascale System - Vineeth Gutta, University of Delaware
4:30pm • A Distributed Stateful Dataloader for Large-Scale Pretraining - Davis Wertheimer, IBM & Linsong Chu, IBM Research
5:00pm • Pushing the Performance Envelope: An Optimization Study for 3D Generative Modelling with PyTorch - Suvaditya Mukherjee & Shireen Chand, University of Southern California