LLMs at the Edge: Decentralized Power and Control
First, large language models (LLMs), such as those in the recent GPT-3, have proved crucial in processing and generating natural language and are core in applications like translation, chatbots, and content generation. Nonetheless, LLMs depend on centralized cloud infrastructure, which has drawbacks. Clients of these models demand significant computational power and storage, making real-time response a potential issue and privacy concern as the data is sent to distant servers.