Scott Reed Advances AI Reliability in Chemistry Research

Published: July 1, 2025 By

Professor Scott Reed from CU Denver's Chemistry DepartmentProfessor Scott Reed, from CU Denver's Chemistry Department, introduced a groundbreaking approach to improving artificial intelligence (AI) reliability in chemical research. Large Language Models (LLMs) have the potential to assist scientists, but they often generate misleading or incorrect information, a challenge known as "hallucination."

In his latest study, Professor Reed demonstrates how LLMs can produce more accurate chemical predictions without the need for costly retraining. By combining Retrieval-Augmented Generation (RAG) with machine learning optimized prompting techniques, his research improves AI performance on key molecular properties used in drug discovery.

This work represents a major step toward making AI a more dependable tool for chemistry and scientific research at-large.

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