Topic: collaborative speculative decoding

A new paper proposes X-CoSD, a communication-efficient method for collaborative speculative decoding that involves an on-device small language model generating candidates while a server large language model verifies them, aiming to improve distributed inference processes in large language models. This approach is crucial as it could enhance the efficiency and scalability of AI applications across devices.

arxiv.org↗