USAGE OF LARGE LANGUAGE MODELS FOR ENHANCING INTERACTIVE SYSTEMS: CHALLENGES AND PROSPECTS

This study explores the advantages of using Large language models in interactive systems, analyzing existing technical and ethical challenges, and examining development prospects, particularly the optimization of Large language models for local processing on mobile devices to ensure user data privacy and security. Large language models such as GPT-4 and BERT can analyze large volumes of data and understand the context of queries, enabling intuitive interfaces. However, using Large language models involves significant technical and ethical challenges. Technical challenges include optimizing computational resources and ensuring stable model performance on resource-limited mobile devices. Ethical aspects include user data privacy and security issues, as data often needs to be processed on remote servers. This paper proposes solutions to these challenges by optimizing Large language models for local processing on mobile devices.