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Explore the future of AI with Yannic Kilcher's material, focusing on self-organizing and self-assembling AI, swarm intelligence, and neural cellular automata.
Explore Yannic Kilcher's insights on autonomous machine intelligence, focusing on self-supervised learning, energy-based models, and hierarchical predictive embedding models in under an hour.
Learn to build AI agents capable of playing Minecraft using Video PreTraining in this less than 1-hour tutorial by Yannic Kilcher. Understand model architecture, fine-tuning, and results.
Explore Parti, an autoregressive text-to-image model, with Yannic Kilcher. Learn about its architecture, datasets, and results in under an hour.
Explore how language models and robotic skills combine to execute complex tasks in this under 1-hour interview by Yannic Kilcher.
Explore how to combine language models with robotic skills for real-world problem-solving in this short, engaging study by Yannic Kilcher.
Explore reinforcement learning and curriculum generation in AI with Yannic Kilcher's interview featuring authors Jack Parker-Holder and Minqi Jiang. Less than 1-hour workload.
Explore the ACCEL algorithm for automatic curriculum generation in reinforcement learning with Yannic Kilcher. This under 1-hour study covers the algorithm, pseudocode, and experimental results.
Explore the mechanics, challenges, and possibilities of operating a large-scale, open dataset with Yannic Kilcher in less than an hour.
Explore an innovative approach to information retrieval with Yannic Kilcher's interview with authors Yi Tay and Don Metzler. Learn about the Differentiable Search Index in under an hour.
Learn how to train a Transformer for document retrieval with Yannic Kilcher's under 1-hour material, exploring differentiable search index architecture and experimental results.
Explore the evolution of AI art, from Deep Dream & Style Transfer to CLIP & DALL-E, with Yannic Kilcher in under an hour. Delve into the future of AI art.
Explore reinforcement learning challenges and solutions with Yannic Kilcher in a less than 1-hour interview with Jesse Mu, author of a paper on language abstractions in AI.
Explore reinforcement learning challenges and solutions with Yannic Kilcher in under an hour. Learn about using language descriptions for assessing novelty in AI environments.
Explore an interview with Yannic Kilcher discussing a method to improve GPT-3 performance post-deployment without changing the model, using memory-assisted prompt editing.
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