GenAI for Document Summarization and Content Generation
Description
Workforce enablement and efficiency through the implementation of Generative AI / Large Language Models (LLM)
Detailed example
Generative LLM applications deployed in a stand alone capacity or embedded in existing systems that will allow users to upload, search, summarize documents, conduct advanced searches, and identify similar language in documents and receive natural language-style outputs in response to their prompts.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Improving Operational Efficiency: Automating information retrieval, reducing manual review time, and streamlining workflows will lead to significant time savings and increased productivity for CBP personnel. This translates to cost savings and allows agents to focus on higher-priority tasks. Enhancing Decision-Making: Providing quick and accurate access to relevant information will improve the quality and consistency of decisions across the agency.
Controls / human review
ATO: No; PIA: Not published
Data needed
The commercial LLMs used for this use case were trained using a diverse range of publicly available data, including text from books, articles, websites, and other sources and data types.