Bias Effects and Notable Generative AI Limitations (BENGAL) Targeted Super Seedling Research Topics
Agency: | |
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Level of Government: | Federal |
Category: |
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Opps ID: | NBD00159772823486267 |
Posted Date: | Nov 17, 2023 |
Due Date: | Jan 19, 2024 |
Source: | https://sam.gov/opp/affad5d251... |
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- Contract Opportunity Type: Combined Synopsis/Solicitation (Original)
- All Dates/Times are: (UTC-05:00) EASTERN STANDARD TIME, NEW YORK, USA
- Original Published Date: Nov 17, 2023 02:54 pm EST
- Original Date Offers Due: Jan 19, 2024 04:00 pm EST
- Inactive Policy: Manual
- Original Inactive Date: Feb 19, 2024
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Initiative:
- None
- Original Set Aside:
- Product Service Code: AJ12 - General Science and Technology R&D Services; General science and technology; Applied Research
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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
White Papers (abstracts) Due Date: December 5, 2023 12:00 PM EST (Offerors are strongly encouraged to submit white papers before submitting a proposal). The submission window for white papers will open on November 27, 2023 12:00PM EST and close on December 5, 2023 12:00PM EST.
The Intelligence Advanced Research Projects Activity (IARPA) invests in high-risk/highpayoff research programs that have the potential to provide our nation with an overwhelming intelligence advantage. IARPA seeks to develop new capabilities to enable the safe adoption and use of generative AI technologies to greatly enhance the effectiveness and efficiency of the Intelligence Community (IC).
The goal of the BENGAL targeted super seedling is to understand LLM threat modes, quantify them and to find novel methods to correct threats and vulnerabilities or to work resiliently with imperfect models. IARPA seeks to develop and incorporate novel technologies to efficiently probe large language models to detect and characterize LLM threat modes and vulnerabilities. Performers will focus on one or more of the topic domains below, clearly articulate a taxonomy of threat modes within their domain of interest and develop technologies to serve as an analog to ‘virus scan’ software.
- ODNI IARPA
- Washington , DC 20511
- USA
- Dr. Timothy McKinnon, Program Manager
- dni-bengal-proposers-day@iarpa.gov
- Liana Todman
- dni-IARPA-BAA-24-03@iarpa.gov
- Phone Number 703-275-2195
- Nov 17, 2023 02:54 pm ESTCombined Synopsis/Solicitation (Original)
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