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Explore GPT-4 experiments and its potential for artificial general intelligence in this less than 1-hour material by Edan Meyer. Delve into its impressive results, limitations, and areas for improvement.
. This course covers the basics of AI, from new features to evaluations and everything in between, learning how it works and how to use it. Plus, demos and giveaways!
Explore DeepMind's new AdA algorithm with Edan Meyer in under an hour. Learn about meta reinforcement learning, attention, memory models, and auto-curriculum learning.
Explore Google's new embodied, multimodal LLM, PaLM-E, with Edan Meyer. Understand its workings, robotics tasks, results, and takeaways in under an hour.
Edan Meyer's quick tutorial on DQN training loop, part 4 of a series on Q Learning. Less than 1 hour of material with code and original paper links.
Edan Meyer's quick tutorial on Q Learning and Experience Replay, with less than an hour of material. Includes data formatting and links to code and original paper.
Explore reinforcement learning with Edan Meyer in less than an hour. Understand algorithm distillation, behavior cloning, and their implications for the future.
Explore DeepMind Alberta's future plans and focus on Reinforcement Learning in a less than 1-hour material by Edan Meyer. Delve into continual learning and meta-learning in complex environments.
Explore Stable Diffusion, a machine learning model for image generation, with Edan Meyer. Understand its workings, compare it with DALL-E 2, and experiment with the code.
Edan Meyer's brief study on OpenAI's paper about training an AI to play Minecraft using imitation and reinforcement learning, with a focus on semi-supervised learning.
Explore DeepMind's Chinchilla, a compute-optimal massive language model, in less than an hour with Edan Meyer. Understand its methods, performance, and scaling implications.
Explore the insufficiency of backpropagation in continual learning with Edan Meyer's concise study of plasticity decay and the proposed Continual Backpropagation solution.
Edan Meyer's brief study on VISR, a DeepMind paper on rapid task adaptation in Reinforcement Learning, focusing on successor features and goal-conditioned policies.
Explore AI code generation with DeepMind's AlphaCode in less than an hour with Edan Meyer. Understand key takeaways and workings of this massive language model.
Explore reinforcement learning in RTS games with Edan Meyer's concise study, covering key insights from recent research papers. Less than 1-hour workload.
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