Results for "weights"

Methods to set starting weights to preserve signal/gradient scales across layers.

Updating a pretrained model’s weights on task-specific data to improve performance or adapt style/behavior.

Techniques that fine-tune small additional components rather than all weights to reduce compute and storage.

Reducing numeric precision of weights/activations to speed inference and reduce memory with acceptable accuracy loss.

Removing weights or neurons to shrink models and improve efficiency; can be structured or unstructured.

Models whose weights are publicly available.