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.
Data Sovereignty: Designing AI for Local Control
Data in the contemporary world is one of the most valuable assets in the demanding technologies, markets, and society. However, the question of how to govern and control the constantly increasing amount of data in the world also arises. Data sovereignty, therefore, means that the local governments or organizations have the right to decide on the use of data collected in a given geographical area they control.