Advanced Lessons

RAG++ course: Multi-step tool use with Cohere

Molmo: Open-Source Vision Language Models are a GAME CHANGER

Boosting LLMs: Performance, Scaling, and Structured Outputs // MLOps Mini Summit #8

Neil Lawrence | The Atomic Human: What Makes Us Unique in the Age of AI | Talks at Google

SEO Expert = Worth It? The Truth

Mastering Holistic SEO: Unlocking Online Success

Unreal Engine 5.5 Is Here - Mega Greatness!

NEW 3D LLMs for Spatial Intelligence (Robin3D)

Ziqi Wang - Enabling Language Models to Implicitly Learn Self-Improvement

The Shift in Data Dynamics // Shiva Bhattacharjee // MLOps Podcast #260 clip

Understanding Topical Maps Beyond Keywords & Topics

New course with Qdrant! Retrieval Optimization: From Tokenization to Vector Quantization is live

Using Exact Match Keyword Targeting Effectively in Google Ads

Data Formulator: Create Rich Visualization with AI iteratively

Lightning Talk: Mobile Computational Photography with PyTorch: Low-Light Denoising - Alexis Baudron

Lightning Talk: What’s New in Ex... Angela Yi, Tugsbayasgalan Manlaibaatar, Avik Chaudhuri & Yidi Wu

JETSON AI LAB | Research Group Meeting (10/1/2024)

OpenAI’s New ChatGPT Goes On Steroids!

Unlock Your Success: Top Strategies for Online Casino Ranking

Advanced Voice Mode's Amazing Accents

LIQUID AI 40B (MIT): REAL Performance on Reasoning (My 5 Tests)

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

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

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

Welcome to the PyTorch Ecosystem for LLM Fine-tuning Mini Summit - Kartikay Khandelwal, Meta

TorchInductor CPU Backend Advancements: New Features and Performance Imp... Jiong Gong & Leslie Fang

Maximizing Training Throughput Using Torch.Compile and FSDP - L. Chu, A. Viros i Martin, B. Vaughan

The Challenges of Building an Opinionated Open Source LLM Framework - Wing Lian, Axolotl AI

Sponsored Session: Accelerating AI Innovation: High Performance PyT... Robert Suderman & Ian Nordeng

[TRITON] Maximizing Kernel Development Productivity Under Performance Constraints - Philip Tillet

Panel Discussion - T. Dettmers, H. Schoelkopf, A. Chowdhery, A. Conneau, Moderated by K. Khandelwal

torchtune: Easy and Accessible Finetuning in Native PyTorch - Evan Smothers, Meta

The State of the Llama Ecosystem - Joe Spisak, Meta

Hacks to Make LLM Training Faster - Daniel Han, Unsloth AI

Training MoEs at Scale with PyTorch - Mihir Patel & Brian Chu, Databricks

Lightning Talk: LLMs on Edge with AI Accelerators - Chen Lai, Kimish Patel & Cemal Bilgin, Meta

A Distributed Stateful Dataloader for Large-Scale Pretraining - Davis Wertheimer & Linsong Chu

Pushing the Performance Envelope: An Optimization Study for 3... Suvaditya Mukherjee & Shireen Chand

Lightning Talk: PyTorch/XLA Auto-Sharding - Yeounoh Chung, Google

Torchtitan: Large-Scale LLM Training Using Native PyTorch 3D Parallel... Wanchao Liang & Linsong Chu

vLLM: Easy, Fast, and Cheap LLM Serving for Everyone - Woosuk Kwon & Xiaoxuan Liu, UC Berkeley

Sponsored Keynote: The Lightning AI OSS Stack for Accelerating the AI Lifecycle - Luca Antiga

Keynote: PyTorch Technical Deep Dive - P. Bialecki, P. Wu, W. Constable, K. Khandelwal & M. Yuan

Training MoEs at Scale with PyTorch - Mihir Patel & Brian Chu, Databricks

Keynote: Navigating the Architectural Timeline of LLMs - Sebastian Raschka, Lightning AI

Sponsored Keynote: Accelerating AI: How AMD and PyTorch Drive Innovation with Sea... Anush Elangovan

Keynote Panel Discussion: Responsible AI - K. Rooney, K. Varshney, S. Hooker, A. Madry, R. Bommasani

Sponsored Keynote: Optimizing AI Inference for Large Language Models - Mudhakar Srivatsa, IBM