A general introduction to Generative Modelling 2. A walkthrough of one of the most utilised generative deep learning models – the Variational Autoencoder (VAE) 3. Examples of state-of-the-art output from Generative Adversarial Networks (GANs) and Transformer based architectures. 4. How generative models can be used in a reinforcement learning setting (World Models paper) 5. Why I believe generative models will play a crucial part in the quest to build Artificial General Intelligence (AGI)
1:45PM Community Q and A
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