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Artificial Intelligence Quantified (AIQ)

ID: HR001124S0029 • Type: Presolicitation • Match:  95%
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Description

The goal of AIQ is to assess and understand capabilities without access to internals, a goal which will be expedited by having access to the internals of open-sourced models, given the architectural similarity to proprietary models.
Background
The goal of AIQ is to assess and understand capabilities without access to internals, a goal which will be expedited by having access to the internals of open-sourced models, given the architectural similarity to proprietary models. The program places a strong emphasis on creating and leveraging open-source development, along with advocating the use of liberal open-source licensing (e.g., Apache, MIT). This strategy includes the establishment of open-source repositories (e.g., GitHub), which are accessible for review by team, other performers, and the wider research community. Such an approach is pivotal in promoting a culture of open innovation and shared knowledge. By facilitating this openness, the program aims to spur rapid innovation and continuous improvement.

Work Details
The AIQ program involves multiple phases with evaluations and demonstrations on selected problems. Proposers are required to submit a detailed schedule of logically sequenced tasks and subtasks that constitute a constructive plan for achieving the proposed technical objectives while appropriately managing risk. Schedules will be synchronized across performers, as required, and monitored and reviewed throughout the AIQ program’s period of performance. The program also includes PI meetings, site visits, monthly teleconference meetings, and travel planning. There are multiple points of essential collaboration among TAs, and all performers are expected to collaborate effectively.

Period of Performance
For budgeting purposes, use January 15, 2025, as a start date for both TAs. The program involves two phases with PI meetings held approximately six (6) months and twelve (12) months after the kick-off meeting in Phase 1. In Phase 2, there will be two PI meetings and a final evaluation meeting.

Place of Performance
For travel planning and costing, assume seven (7) trips during the two phases per the program schedule shown (Fig. 3), alternating between Washington, DC and San Diego, CA, with each trip requiring 3-days and 2-nights.

Overview

Response Deadline
Aug. 20, 2024, 9:00 a.m. EDT (original: Aug. 13, 2024, 8:00 a.m. EDT) Past Due
Posted
June 4, 2024, 12:21 p.m. EDT (updated: July 19, 2024, 10:21 a.m. EDT)
Set Aside
None
Place of Performance
Not Provided
Source
SAM

Current SBA Size Standard
1000 Employees
Pricing
Multiple Types Common
Est. Level of Competition
High
Est. Value Range
Experimental
$500,000 - $2,000,000 (AI estimate)
Odds of Award
46%
On 6/4/24 Defense Advanced Research Projects Agency issued Presolicitation HR001124S0029 for Artificial Intelligence Quantified (AIQ) due 8/20/24. The opportunity was issued full & open with NAICS 541715 and PSC AC12.
Primary Contact
Name
BAA Coordinator   Profile
Phone
None

Documents

Posted documents for Presolicitation HR001124S0029

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Additional Details

Source Agency Hierarchy
DEPT OF DEFENSE > DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA) > DEF ADVANCED RESEARCH PROJECTS AGCY
FPDS Organization Code
97AE-HR0011
Source Organization Code
500035490
Last Updated
Jan. 6, 2025
Last Updated By
darpa.fbo.gov@darpa.mil
Archive Date
Jan. 6, 2025