Session Outline
Exploring and combining scattered drug discovery data is difficult. In this session at the Data Innovation Summit 2024, we have Johan Hofmans, Scientific Programmer Computational Chemistry at Galapagos. In his talk, Johan investigates the application of large language models (LLMs), using the retrieval-augmented generation (RAG) approach, to enable scientists to “talk with their data” and retrieve accurate, summarized results for a complex question. Providing domain-specific information is essential to retrieve meaningful answers out of natural language based questions.