ai
Adapter
Adapter Layer
Definition
An adapter is a small, trainable module inserted into a frozen pre-trained model to enable parameter-efficient fine-tuning. Only the adapter weights are updated during training, leaving the base model unchanged.
Adapters reduce compute and memory costs compared to full fine-tuning while achieving competitive task-specific performance.
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