Advanced Lessons

The Decentralized Future of Private AI [Illia Polosukhin] - 749

Inside Nano Banana 🍌 and the Future of Vision-Language Models [Oliver Wang] - 748

Multimodal AI Models on Apple Silicon with MLX [Prince Canuma] - 744

Genie 3: A New Frontier for World Models [Jack Parker-Holder and Shlomi Fruchter] - 743

Distilling Transformers and Diffusion Models for Robust Edge Use Cases [Fatih Porikli] - 738

Grokking, Generalization Collapse, and Dynamics of Training Deep Neural Nets [Charles Martin] - 734

Inside Waymo’s New Foundation Model Powering Self-Driving Cars [Drago Anguelov] - 725

Dynamic Token Merging: 2× Faster Byte-Level LLMs [Julie Kallini] - 724

Latent Reasoning: Scaling Test-Time Compute for Smarter LLMs [Jonas Geiping] - 723

Visualization-of-Thought: Multimodal Models That Imagine While They Reason [Chengzu Li] - 722

Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - 720

AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - 711

Stealing Weights of a Production LLM Like OpenAI’s ChatGPT with Nicholas Carlini - 702

Genie: Generative Interactive Environments with Ashley Edwards - 696

Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - 693

Decoding Animal Behavior to Train Robots with EgoPet with Amir Bar - 692

Long Context Language Models and their Biological Applications with Eric Nguyen - 690

Asking the right questions during training helps models improve attention mechanism and reasoning 📹🧠

Gen AI at the Edge: Qualcomm AI Research at CVPR 2024 with Fatih Porikli - 688

Energy Star Ratings for AI Models with Sasha Luccioni - 687

Language Understanding and LLMs with Christopher Manning - 686

Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - 680

Coercing LLMs to Do and Reveal (Almost) Anything with Jonas Geiping - 678

Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - 671

Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - 668

Learning Transformer Programs with Dan Friedman - 667

Demos optimize costs, energy, performance, and privacy in on-device AI with full-stack optimization

Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - 663

AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - 658

Building LLM-Based Applications with Azure OpenAI with Jay Emery - 657

Visual Generative AI Ecosystem Challenges with Richard Zhang - 656

AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - 654

Mental Models for Advanced ChatGPT Prompting with Riley Goodside - 652

Multilingual LLMs and the Values Divide in AI with Sara Hooker - 651

Scaling Multi-Modal Generative AI with Luke Zettlemoyer - 650

Pushing Back on AI Hype with Alex Hanna - 649

Personalization for Text-to-Image Generative AI with Nataniel Ruiz - 648

What’s Next in LLM Reasoning? with Roland Memisevic - 646

Consistency & robustness in #generativeai models are crucial for software stability and performance

Is ChatGPT Getting Worse? with James Zou - 645

Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - 644

Transformers On Large-Scale Graphs with Bayan Bruss - 641

Harnessing the Power of Smaller Models: Unraveling the Secrets of LLaMA-style Training

BloombergGPT - an LLM for Finance with David Rosenberg - 639

Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - 638

Privacy vs Fairness in Computer Vision with Alice Xiang - 637

The Beauty of Optical Flow Solutions

The Stepping Stones to Personalized AI