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

This article describes how Artificial Genius uses Amazon Nova and SageMaker AI to create deterministic, non-hallucinating language models for regulated industries like finance and healthcare.

• Third-generation models combine generative fluency with deterministic output verification
• Uses non-generative fine-tuning to eliminate hallucinations while preserving comprehension
• Amazon Nova Lite selected as ideal base model for enterprise reliability
• Proprietary synthetic Q&A generator creates diverse training data for anti-hallucination instruction tuning
• LoRA-based supervised fine-tuning with 50% dropout achieves 0.03% hallucination rate
• Prompt meta-injection technique disables unwanted chain-of-thought reasoning
• Architecture uses SageMaker Training for fine-tuning and Amazon Bedrock for deployment
• Data engineering and quality training data are paramount to preventing overfitting

This approach enables safe, auditable AI adoption in regulated sectors by engineering determinism and verifiability into LLMs rather than relying on standard generative safeguards.