Advanced Lessons

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)

[Paper Club] Berkeley Function Calling Paper Club! — Sam Julien, Writer

The Future of RAG vs. Fine-Tuning: What You Need to Know? #rag

THIS Is Proof SEO Still Holds Huge Potential For Organic Growth!

Overparametrized LLM: COMPLEX Reasoning (Yale Univ)

This is the BEST Voice AI yet!!!

Credem drives digital transformation with Google Cloud AI

How Context Shapes Website Relevance: Key Strategies

Gemma AI: language tuning short cut

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

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

SEO Expert = Worth It? The Truth

Mastering Holistic SEO: Unlocking Online Success

Unreal Engine 5.5 Is Here - Mega Greatness!

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

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

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

NEW 3D LLMs for Spatial Intelligence (Robin3D)

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

Understanding Topical Maps Beyond Keywords & Topics

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