Browse Lessons

The Challenges of Translating Domain Knowledge for Causal Inference

How a Background in Law Helps in AI Ethics

Causal Reasoning in Machine Learning

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

Unifying Vision and Language Models with Mohit Bansal - 636

The Stepping Stones to Personalized AI

Why Optical Flow is Essential for Computer Vision

Building Cool Stuff at a High Velocity

Data Augmentation and Optimized Architectures for Computer Vision - Fatih Porikli - 635

The Challenges of Model Training vs Deployment

Expanding the Abilities of the AI Stack

Mojo: A Supercharged Python for AI with Chris Lattner - 634

The Value of Compression Research

The Benefit of Bringing Stable Diffusion to the Edge

Stable Diffusion and LLMs at the Edge with Jilei Hou - 633

Modeling Human Behavior with Generative Agents with Joon Sung Park - 632

Towards Improved Transfer Learning with Hugo Larochelle - 631

Challenges of Using State Space Models in Language Modeling

You've Removed the Attention from your Transformer Model...Now What?

Challenges with Increasing Context Length in Large Language Models

Language Modeling With State Space Models with Dan Fu - 630

LSTMs for Blind Agent Mapping

Assessing Progress in Large Language Models

Embodiment vs Disembodiment for General AI Systems

Building Maps and Spatial Awareness in Blind AI Agents with Dhruv Batra - 629

AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - 628

The importance of hyperparameter optimization

Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - 627

The Capabilities and Dangers of Large Language Models

On the Advancements in Language Models

The Impact of HCI on the Future of Programming

The Importance of Specialized Research in AI

Are LLMs Overhyped or Underappreciated? with Marti Hearst - 626

How the AI Hype Cycle is Creating Market Confusion

From Mathematical Theory to AGI - Ben Goertzel

Which human tasks would be solved by narrow AI vs AGI - Ben Goertzel - 625

Are Large Language Models a Path to AGI? with Ben Goertzel - 625

Open Source Generative AI at Hugging Face with Jeff Boudier - 624

Enhancing The Edge User Experience - 623

Exciting Upcoming Edge Use-Cases

Fundamentals for accommodating attention models on edge devices - 623

Generative AI on the Edge with Vinesh Sukumar - 623

Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - 622

Watermarking LLMs to Fight Plagiarism with Tom Goldstein - 621

Can Large Language Models like GPT-4 and ChatGPT learn to "reason" like humans?

On the history of neural networks in cognitive science and psycholinguistics