Is your team deploying an AI or large language model within a regulated sector, and are you concerned about compliance risks or model inaccuracies?

I assist organizations in fields such as healthcare, legal services, and financial services in ensuring their language models are reliable, traceable, and adhere to regulations.

Services Provided:

• Creation of a specialized test dataset for inaccuracies, derived from your specific domain information
• Establishment of a baseline inaccuracy rate (measuring factual correctness against verified data)
• Detailed reports on security testing and findings related to bias or safety issues
• A strategy for remediation, including adjustments to prompts, retrieval methods, and protective model designs
• A regulatory compliance checklist tailored to standards like HIPAA, GDPR, SOX, or your internal policies
• An optional service for 30 days of continuous monitoring using an automated testing system, complete with weekly updates

The Result: A comprehensive, compliance-ready document in PDF format and actionable steps to enhance system safety.

My Qualifications:

• Proven track record in evaluating large language models used in enterprise environments (including major commercial models and custom retrieval-augmented generation systems)
• Deep knowledge of AI governance and risk management structures
• Commitment to complete privacy; non-disclosure agreements are accepted

You will receive quantifiable safety metrics, necessary compliance paperwork, and the assurance that your AI's output is dependable.

(If your needs relate to education, insurance, or banking, please contact me for a customized proposal.)