Dbsa

AdapShot optimizes LLM in-context learning with dynamic shot counts and KV cache reuse

Researchers have introduced AdapShot, a novel approach to enhance many-shot in-context learning for large language models. This method dynamically adjusts the number of examples provided based on query difficulty, using…