Partitioning an LLM between cloud and edge

Partitioning an LLM between cloud and edge

Historically, large language models (LLMs) have required substantial computational resources. This means development and deployment are confined mainly to powerful centralized systems, such as public cloud providers. However, although many people believe that we need...