Technical GlossaryGenerative AI and LLM
Adapters
A parameter-efficient approach that inserts small modules into the base model to enable task adaptation.
Adapters keep the core model largely fixed while inserting small trainable blocks for new tasks. This makes it easier to support multiple tasks on top of the same foundation model. They are especially useful in modular system design and task-specific version management.
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