Results for "fine-tuning"

Fine-tuning on (prompt, response) pairs to align a model with instruction-following behaviors.

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

PEFT method injecting trainable low-rank matrices into layers, enabling efficient fine-tuning.

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