Request for Information – Characterizing Large Language Model Biases, Threats and Vulnerabilities
Agency: | OFFICE OF THE DIRECTOR OF NATIONAL INTELLIGENCE |
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Level of Government: | Federal |
Category: |
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Opps ID: | NBD00159649365609566 |
Posted Date: | Jul 31, 2023 |
Due Date: | Aug 21, 2023 |
Solicitation No: | IARPA-RFI-23-03 |
Source: | https://sam.gov/opp/2408b8b4a9... |
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- Contract Opportunity Type: Sources Sought (Original)
- All Dates/Times are: (UTC-04:00) EASTERN STANDARD TIME, NEW YORK, USA
- Original Published Date: Jul 31, 2023 08:39 am EDT
- Original Response Date: Aug 21, 2023 05:00 pm EDT
- Inactive Policy: 15 days after response date
- Original Inactive Date: Sep 05, 2023
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Initiative:
- None
- Original Set Aside:
- Product Service Code:
-
NAICS Code:
- 541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
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Place of Performance:
Washington , DC 20511USA
IARPA is seeking information on established characterizations of vulnerabilities and threats that could impact the safe use of large language models (LLMs) by intelligence analysts. This RFI is issued for planning purposes only, and it does not constitute a formal solicitation for proposals or suggest the procurement of any material, data sets, etc. The following sections of this announcement contain details on the specific technology areas of interest, along with instructions for the submission of responses.
Submission Instructions to Respondents:
Responses to this RFI are due no later than 5 p.m., Eastern Time, on 21 August, 2023. All submissions must be electronically submitted to dni-iarpa-rfi-23-03@iarpa.gov as a PDF document. Inquiries to this RFI must be submitted to dni-iarpa-rfi-23-03@iarpa.gov. Do not send questions with proprietary content. No telephone inquiries will be accepted.
Document | File Size | Access | Updated Date |
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152 KB
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Public |
Jul 31, 2023
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- ODNI IARPA
- Washington , DC 20511
- USA
- Dr. Timothy McKinnon
- dni-iarpa-rfi-23-03@iarpa.gov
- Jul 31, 2023 08:39 am EDTSources Sought (Original)
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