Intermediate Lessons

Delivering Modern Manufacturing Outcomes with AI at the Edge

Data Science vs. Statistics: Tech Careers

Transforming Blazor Applications into 2D Games with Blazorex

Build a Full Stack Next.js App with Google Calendar - TypeScript, Drizzle, ShadCN, Tailwind, Neon

Parameta Solutions: Empowering Compliance Teams with Generative AI

Ask Less, Give More! #personalbranding

Why Jamie from The Zac and Jay Show left YouTube… 🥹 #helpbnk #entrepreneur #thezacandjayshow

The Quest for Community-Trained Open Source AI Models

Portfolio Review: DesignUps

State of PyTorch - Ji Li & Damien Sereni, Meta

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

I Ranked #1 on Google in 24 hours to prove it's not luck

AI agents for developers productivity #shorts

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

Building Scientific Computing Infrastructure Software with the PyTorch Ecosystem - Bharath Ramsundar

Meta Llama 3 and the Future of Responsible AI Development - Spencer Whitman & Vincent Gonguet, Meta

DL Compiler Panel Discussion - P. Tillet, J. Ansel, J. Pienaar, T. Chen, M. Zolotukhin, P. Wu

Lightning Talk: A Whirlwind Tour of PyTorch Extension Points - Alban Desmaison, Meta

Lightning Talk: Beyond Zero: Eliminating Vulnerabili... Patrick Smyth, Dan Fernandez & Srishti Hegde

ExecuTorch Beta and on-Device Generative AI Support - Mergen Nachin & Mengtao (Martin) Yuan, Meta

[MLIR] Enabling Composition of Kernels and Compilers - Jacques Pienaar, Google

Lightning Talk: Extending PyTorch with Custom Python/C++/CUDA Operators - Richard Zou, Meta

Sponsored Session: Torchchat: A Showcase of PyTorch LLM Ubiquity - Jack Khuu & Jesse White, Meta

Lightning Talk: In-Transit Machine Learning Using PyTorch on Frontier Exascale System- Vineeth Gutta

Lightning Talk: Making the Most of Heterogeneous Memory Capacity Using PyTorch - Syed Ahmed, NVIDIA

Lightning Talk: What's New for PyTorch Developer Infrastructure - Sahan Paliskara & Catherine Lee

Data-Dependent Shapes in PT2 - Edward Yang, Meta

Lightning Talk: On-Device Profiling and Debugging with ExecuTorch - Olivia Liu & Vaun Puri, Meta

Lightning Talk: AOTriton: Ahead of Time Triton Kernel Libraries on ROCm - Jeff Daily, AMD

Lightning Talk: Optimized PyTorch Inference on aarch64 Linux CPUs - Sunita Nadampalli, Amazon (AWS)

Lightning Talk: Empowering Developers: Tools and Resources for Running Generative A... Pareena Verma

The Rise of `Transformers` in the Growing PyTorch Ecosystem - Arthur Zucker, Hugging Face

Sponsored Keynote: From Containers to Cognition: Conducting the AI Orchestra - Taylor Dolezal

Sponsored Keynote: Enabling AI Everywhere with PyTorch and Intel - Kismat Singh, Intel

Keynote: Enabling Generative AI on the Edge - Cormac Brick, Principal Engineer, Google

Keynote: Open Language Models (OLMo): Accelerating the Science of Language Modeling Hanna Hajishirzi

Keynote: Welcome & Opening Remarks - Matt White, Executive Director, PyTorch Foundation

Building PyTorch Computer Vision Algorithms for 100 Skin Shades - Emmanuel Acheampong, roboMUA

Unlocking the Enigma: Crafting Unbiased, Transparent, and Explainable Large Languag... Rashmi Nagpal

Understanding the LLM Inference Workload - Mark Moyou, NVIDIA

Intel GPU in Upstream PyTorch: Expanding GPU Choices and Enhancing Back... Eikan Wang & Min Jean Cho

Keynote: Why You Should Think Twice Before Paying for an Evaluation Tool - Chip Huyen, Voltron Data

Implementing a Custom Torch.Compile Backend - A Case Study - Maanav Dalal & Yulong Wang, Microsoft

Lightning Talk: d-Matrix LLM Compression Flow Based on Torch.Fx: Simplify... Zifei Xu & Tristan Webb

Keynote Panel Discussion: Scaling & Benchmarking

Sponsored Session: Democratizing AI: Powering the Future with Arm’s Global Comp... Gian Marco Iodice

Lightning Talk: Understanding and Optimizing PyTorch Models with Thunder - Luca Antiga, Lightning AI

Sponsored Session: PyTorch Support by Google Enabling Perform... Mark Sherwood & Shauheen Zahirazami