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LLM 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-enabled tools. Security requirements and other significant barriers hinder government experimentation with commercially-available LLMs.
ANSWER
A customized 3rd-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
Seeking 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/custom benchmarking services for govt and providers seeking LLM fine-tuning support. - Product vetting for the dual use investor community.

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