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Explore Meta AI's LLaMA language models with Yannic Kilcher in under an hour. Learn about training data, hyperparameters, architecture modifications, and more.
Explore DeepMind's AI agent, AlphaStar, and its use of multi-agent reinforcement learning to achieve Grandmaster level in StarCraft II in under an hour with Yannic Kilcher.
Learn about IMPALA, a distributed agent for reinforcement learning, in this under 1-hour material by Yannic Kilcher. Gain insights into efficient resource utilization and off-policy correction method, V-trace.
Learn to accelerate deep neural network training with Selective-Backprop, a technique prioritizing high-loss examples. Offered by Yannic Kilcher, it takes less than an hour.
Explore Geoff Hinton's innovative Capsule Networks with Yannic Kilcher in under an hour. Learn to implement neural networks in a novel way, promising state-of-the-art performance.
Explore YouTube's alleged radicalization pipeline with Yannic Kilcher's analysis of channel recommendations and commenting behavior, in under an hour.
Explore CNNs over manifolds with Yannic Kilcher's concise study, offering a practical method to achieve top results in various tasks. Ideal for those interested in neural network architecture design.
Learn to rectify neural network issues with Manifold Mixup, a simple regularization technique, in this less than 1-hour material by Yannic Kilcher. Improve supervised learning and robustness to attacks.
Engage in a brief, insightful discussion on population-based methods and open-ended learning with Yannic Kilcher, hosted by Henry AI Labs.
Explore the intriguing world of adversarial examples in machine learning with Yannic Kilcher. In less than an hour, delve into non-robust features, their existence, and impact on data robustness.
Explore the intersection of AI and cognitive science with Yannic Kilcher's concise study on deep reinforcement learning techniques, their efficiency, and implications for psychology and neuroscience.
Learn about blockwise parallel decoding for deep autoregressive models with Yannic Kilcher. This under 1-hour study offers theoretical improvements in generation speed and real-time speedups.
Explore the intersection of AI, gender, race, and power with Yannic Kilcher. Understand societal bias in AI systems and workforce representation. Duration: 1-2 hours.
Learn to detect adversarial attacks using test statistics in this under 1-hour material by Yannic Kilcher. Gain skills in defending models and correcting predictions with high accuracy.
Explore deep neural network models with Yannic Kilcher's under 1-hour material. Learn to parameterize the derivative of the hidden state and backpropagate through any ODE solver.
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