Diffusion Models
Generative models that learn to denoise, enabling high-quality image and video synthesis
Generative Adversarial Networks
Two neural networks compete to generate realistic data
GPT: Generative Pre-Training
Autoregressive language models that learn to predict the next token
Latent Diffusion Models
High-resolution image generation by diffusing in learned latent spaces
The Unreasonable Effectiveness of Recurrent Neural Networks
Andrej Karpathy's influential blog post demonstrating RNN capabilities through character-level generation
Variational Autoencoder (VAE)
Probabilistic generative model with structured latent space
Variational Lossy Autoencoder
Understanding VAEs as compression systems with a rate-distortion trade-off