Fine-Tuned In-Context Learners for Efficient Adaptation

Jorg Bornschein, Clare Lyle, Yazhe Li +3

When adapting large language models (LLMs) to a specific downstream task, two primary approaches are commonly employed: (1) prompt engineering, often with in-context few-shot learn…