Language & LLMs
What Are Adapter Layers?
Adapter layers are small neural network modules inserted between the layers of a pretrained model. During fine-tuning, only these adapters are trained while the original weights stay fixed. This enables efficient task adaptation and lets multiple tasks share the same base model.
Further reading
Read more about adapter layers — articles and blogs from around the web: