A new model compression method called requential coding compresses a generative model by coding a training process built from self-generated data, achieving code length equal to the cumulative teacher…
A developer ported Karpathy's nanochat to run on a TPU v6e-8 using JAX, achieving a CORE score that reproduces the original quality but with a model FLOPs utilization (MFU) of about 24%, roughly half …
A developer debugging a JAX/Flax NNX training loop discovered that the loss was stuck at 10.82, indicating the model was performing no better than random guessing. The issue was traced to the training…
A developer porting PyTorch LLM code to JAX using Flax encountered difficulties when attempting to store model checkpoints with Safetensors, as the library's Flax API expects flat dictionaries but Fla…