LibreChat
Description
The NHGRI-internal generative chat and image capabilities of LibreChat will provide an alternative to using publicly available chat services that may expose NIH data. Prompt data is stored within NHGRI's system boundaries and will not be used to train public models.
Detailed example
AI system outputs are in response to user prompts. The LLMs utilized have the ability to recommend (based on prompted preferences), formulate content, and inform decisions based on the details of the prompts.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
It will allow NHGRI staff to utilize chat and image generative AI services using available LLMs from various CSPs through a single interface without exposing NHGRI data to train public models.
Controls / human review
ATO: Not reported; PIA: Not published