LLM Response Verification for Accurate, Compliant Enterprise AI
A hybrid verification service that validates responses from leading LLMs
About the customer
Enterprises adopting generative AI need confidence that the responses of large language models (LLMs) are accurate and meet corporate standards. Our client, a US generative AI company, helps enterprises adopt AI by addressing data governance challenges such as policy-based access, compliance and information validation. It needed a verification service that could evaluate and validate LLM responses.
What needed solving
Trust and compliance
Validating the accuracy and compliance of AI-generated content is a significant challenge for enterprises
Many different LLMs
Responses from different LLMs, such as Claude, Llama, Gemini and ChatGPT, all had to meet corporate standards to build trust and reliability in AI solutions
Protecting corporate data
The client needed a reliable verification service that could evaluate and validate the responses generated by these LLMs, to uphold the integrity and security of corporate data
How we built it
Baseline
Started with existing verification tools such as Factool.
Research
Reviewed the latest research on LLM verification and evaluation.
Hybrid verifier
Combined traditional NLP techniques with LLM-based verification.
Industry benchmarking
Tested against healthcare, sports, legal and financial datasets for robustness and accuracy.
Deployment
Integrated as a microservice in the client’s application and released to production for its corporate customers.
The client can confidently offer AI solutions to its enterprise customers
Technologies
Domains
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