SOLICITATION NOTICE
A -- Chatbot Accuracy and Reliability Evaluation (CARE) Exploration Topic
- Notice Date
- 4/19/2024 6:00:30 AM
- Notice Type
- Solicitation
- NAICS
- 541715
— Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Contracting Office
- NIH ADVANCED RESEARCH PROJECTS AGENCY FOR HEALTH (ARPA-H) Bethesda MD 208920004 USA
- ZIP Code
- 208920004
- Solicitation Number
- ARPA-H-MAI-24-01-04
- Response Due
- 6/3/2024 9:00:00 AM
- Archive Date
- 06/18/2024
- Point of Contact
- SEE DESCRIPTION SECTION
- E-Mail Address
-
do_NOT_use_THIS_email_ADDRESS@arpa-h.gov
(do_NOT_use_THIS_email_ADDRESS@arpa-h.gov)
- Description
- ARPA-H is launching an Exploration Topic (ET) aimed at expanding the Resilient System Office�s (RSO) funding approach associated with the interest areas included within Appendix A to the Master Announcement Instructions, ARPA-H-MAI-24-01. Exploration Topics will be announced via Module Announcements issued under the Master Announcement Instructions (MAI), ARPA-H-MAI-24-01. Exploration Topics are short-duration, fast-paced efforts with smaller, targeted awards. Each Exploration Topic will pursue topics that strategically align with the RSO mission and provide foundational proofs-of-concept for additional future research to be built upon. The mission of the Advanced Research Projects Agency for-Health (ARPA-H) is to accelerate better health outcomes for everyone by advancing innovative research that addresses society's most challenging health problems. Awardees will develop groundbreaking new ways to tackle health-related challenges through high potential, high-impact biomedical and health research. ARPA-H seeks proposals to develop new evaluation technologies for detecting hallucinations and other inaccuracies in medical Large Language Model (LLM) output for patient-facing applications. The Chatbot Accuracy and Reliability Evaluation (CARE) ET endeavors to produce tools and technology that evaluates output with the efficiency of computational methods and the accuracy of human experts. By creating scalable and cost-effective LLM evaluation technologies, CARE seeks to accelerate the creation of trustworthy medical chatbots and enable access to more reliable health-related information. See the attached CARE module announcement for full project and submission details.� All question regarding CARE must be sent to Ask-A-Question at: https://solutions.arpa-h.gov/Ask-A-Question��
- Web Link
-
SAM.gov Permalink
(https://sam.gov/opp/8d3c07159e9f4d32ab7b179d365e6fab/view)
- Place of Performance
- Address: USA
- Country: USA
- Country: USA
- Record
- SN07036414-F 20240421/240419230044 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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