Overcoming LLM hallucinations in regulated industries: Artificial Genius’s deterministic models on Amazon Nova

This post is cowritten by Paul Burchard and Igor Halperin from Artificial Genius.

The proliferation of large language models (LLMs) presents a significant paradox for highly regulated industries like financial services and healthcare. The ability of these models to process complex, unstructured information offers transformative potential for analytics, compliance, and risk management. However, their inherent probabilistic nature leads to hallucinations, plausible but factually incorrect information.

In sectors governed by stringent requirements for auditability and accuracy, the non-deterministic behavior of standard generative AI is a barrier to adoption in mission-critical systems. For a bank or a hospital, determinism isn’t only a goal; the outcomes must be accurate, relevant, and reproducible.

In this post, we’re excited to showcase how AWS ISV Partner Artificial Genius is using Amazon SageMaker AI and Amazon Nova to solve this challenge. By introducing a third generation of language models, they’re delivering a solution that ...