Results for "efficiency"

Number of samples per gradient update; impacts compute efficiency, generalization, and stability.

The set of tokens a model can represent; impacts efficiency, multilinguality, and handling of rare strings.

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

Training a smaller “student” model to mimic a larger “teacher,” often improving efficiency while retaining performance.

Built-in assumptions guiding learning efficiency and generalization.

Diffusion performed in latent space for efficiency.