Yannic Kilcher Courses

How to Make Your CPU as Fast as a GPU - Advances in Sparsity with Nir Shavit

Explore advances in sparsity and how CPUs can match GPU performance in neural networks. Learn about pruning, efficient algorithms, and the future of sparse architectures in deep learning.

• YouTube
• 50 minutes
• On-Demand
• Free Video

More Is Different for AI - Scaling Up, Emergence, and Paperclip Maximizers

Explore AI scaling, emergence, and safety with Jacob Steinhardt. Discuss qualitative changes in AI systems, implications for alignment, and thought experiments like the Paperclip Maximizer. Gain insights on future AI challenges and potential solutions.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

The Future of AI Is Self-Organizing and Self-Assembling - With Prof. Sebastian Risi

Explore self-organizing AI systems, swarm intelligence, and neural cellular automata with Prof. Sebastian Risi. Discover applications, challenges, and future directions in this emerging field of artificial intelligence.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

A Path Towards Autonomous Machine Intelligence - Paper Explained

Explanation of Yann LeCun's paper on autonomous machine intelligence, combining self-supervised learning, energy-based models, and hierarchical predictive embedding for creating world models and planning.

• YouTube
• 1 hour
• On-Demand
• Free Video

Learning to Act by Watching Unlabeled Online Videos - Paper Explained

Exploring OpenAI's Video PreTraining for Minecraft: leveraging unlabeled gameplay footage to create an AI agent capable of complex tasks, including crafting a diamond pickaxe.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Explore Parti, a groundbreaking autoregressive text-to-image model. Learn about its architecture, datasets, experimental results, and capabilities in generating realistic, accurate images from text prompts.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Author Interview - SayCan - Do As I Can, Not As I Say - Grounding Language in Robotic Affordances

Explore SayCan, a groundbreaking approach combining language models with robotic skills for complex task execution. Learn about its development, challenges, and future implications in AI and robotics.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Do As I Can, Not As I Say - Grounding Language in Robotic Affordances

Explanation of SayCan, a system combining language models with robotic skills for real-world task execution. Covers methodology, implementation, and experimental results for complex instruction following.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Author Interview - ACCEL- Evolving Curricula with Regret-Based Environment Design

Explore ACCEL, a novel approach combining regret-based sampling and level-editing for training robust AI agents. Learn about curriculum generation, minimax regret, and the future of reinforcement learning.

• YouTube
• 58 minutes
• On-Demand
• Free Video

ACCEL - Evolving Curricula with Regret-Based Environment Design

Explore ACCEL, a novel approach combining regret-based sampling and level-editing for creating adaptive curricula in reinforcement learning, enhancing agent capabilities and robustness.

• YouTube
• 44 minutes
• On-Demand
• Free Video

LAION-5B - 5 Billion Image-Text-Pairs Dataset - With the Authors

Explore LAION-5B, a massive open dataset of 5 billion image-text pairs. Learn about its creation, challenges, applications, and implications for AI research and development.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Author Interview - Transformer Memory as a Differentiable Search Index

Explore a novel approach to information retrieval using a single Transformer model that encodes corpus information in its parameters, enabling direct query-to-document mapping without external indices.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Transformer Memory as a Differentiable Search Index - Machine Learning Research Paper Explained

Explore a novel approach to information retrieval using a single Transformer model that encodes corpus information in its parameters, enabling direct query-to-document mapping without external indices.

• YouTube
• 52 minutes
• On-Demand
• Free Video

The Weird and Wonderful World of AI Art

Explore the evolution of AI art, from early techniques to modern tools like CLIP and DALL-E. Discover the impact on artists, researchers, and amateurs, and ponder the future of this rapidly advancing field.

• YouTube
• 1 hour
• On-Demand
• Free Video

Improving Intrinsic Exploration with Language Abstractions - Author Interview

Interview exploring how language abstractions can improve intrinsic exploration in reinforcement learning, discussing experimental results, challenges, and future directions in this promising research area.

• YouTube
• 49 minutes
• On-Demand
• Free Video