Hands on with GitHub’s open-source tool kit for steering AI coding agents by combining detailed specifications and a human in ...

When using latent diffusion, it is necessary to create two different versions of a given dataset: the original RGB version, used for evaluation, and a VAE-encoded latent version, used for training.

I would like to request the implementation of the Muon optimizer in Optax. The Muon and MuonClip optimizers have recently been introduced as very fast and efficient optimizers for training deep neural ...

At the core of Transformers, a set of input activations is multiplied by a learned weight matrix to produce a new set of output activations. When the weight matrix is updated during training, the ...