Harnessing large language models' zero-shot and few-shot learning capabilities for regulatory research.

ABSTRACT: Large language models (LLMs) are sophisticated AI-driven models trained on vast sources of natural language data. They are adept at generating responses that closely mimic human conversational patterns. One of the most notable examples is OpenAI's ChatGPT, which has been extensively used across diverse sectors. Despite their flexibility, a significant challenge arises as most users must transmit their data to the servers of companies operating these models. Utilizing ChatGPT or similar models online may inadvertently expose sensitive information to the risk of data breaches. Therefore, implementing LLMs that are open source and smaller in scale within a secure local network becomes a crucial step for organizations where ensuring data privacy and protection has the highest priority, such as

SUBMITTER: Meshkin H 

PROVIDER: S-EPMC11342240 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature