RFI for Closed Large Language Model Solution for Customer Interaction
Location:
Texas, United States
Posted on:
Deadline:
Summary:
Seeking RFI for a secure closed large language model solution to improve information access and customer interaction in Texas.
Get full access to this RFP
Download the full RFP document and use Settle's AI to analyze requirements, estimate budget, and draft winning responses in minutes.
A Texas-based organization is seeking information from vendors regarding the provision of a secure, closed large language model solution. This technology aims to enhance access to accurate information and improve customer interactions related to development regulations and processes for both internal staff and the general public.
The desired solution must demonstrate advanced natural language processing capabilities, accurately performing natural language tasks with a focus on factual correctness and response consistency. Essential requirements include robust program safety measures that prevent the processing of speculative or incorrect information, protect against security risks such as system penetration or jailbreaking, and safeguard personally identifiable and sensitive information.
Vendors are expected to ensure the solution delivers a high-quality user experience, emphasizing real-time usability, accuracy, reliability, and the helpfulness of responses. This request is for information only, and interested parties should present details on how their technology meets these outlined needs.
