AI model benchmarking for national security use cases
PROBLEM
Agencies possess exceptionally large and unique datasets that can yield new, critical national security insights with the help of generative AI. Intelligence officers, however, frequently perform time-consuming manual tasks that could be off-loaded to AI-based tools. Security requirements and other significant barriers hinder government experimentation with commercially-available LLMs.
ANSWER
A customized third-party benchmark that scores models for zero-shot performance against common intelligence officer use cases will ensure limited resources are allocated to further testing/evaluation of the most promising capabilities.
AUDIENCE
These are independent evaluations of AI tool efficacy, at no risk to government systems or data.
- Validation for companies already marketing products to government.
- Valuable training and development feedback to new product innovators.
- Advisory and custom benchmarking services, for government and providers seeking LLM fine-tuning support.
- Product vetting for the dual use investor community.