Context Tuning for In-Context Optimization

Jack Lu, Ryan Teehan, Zhenbang Yang +1

We introduce Context Tuning, a simple and effective method to significantly enhance few-shot adaptation of large language models (LLMs) without weight updates. In-Context Learning…