PharmTech featured a byline by Jayaprakash Nair, Head of AI and Analytics at Altimetrik, titled “Why Pharma’s AI Agents Need Smaller, Domain-Specific Models First.”
In the article, Jayaprakash explains why large language models (LLMs) fall short in the pharmaceutical domain, where data accuracy, compliance, and proprietary knowledge are mission-critical. He says that while most companies currently rely on retrieval-augmented generation (RAG) due to cost and complexity, the real breakthrough will come from smaller, domain-specific models trained on validated enterprise documentation.
He highlights that these models enable trustworthy, efficient, and compliant AI systems capable of understanding proprietary processes from batch record analysis to quality investigations laying the foundation for safe, autonomous AI agents in pharma.
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