RAG-Enhanced Collaborative LLM Agents for Drug Discovery

Understand

Recent advances in large language models (LLMs) have shown great potential to accelerate drug discovery.

• However, the specialized nature of biochemical data often necessitates costly domain-specific fine-tuning, posing major challenges.
• First, it hinders the application of more flexible general-purpose LLMs for cutting-edge drug discovery tasks.
• More importantly, it limits the rapid integration of the vast amounts of scientific data continuously generated through experiments and research.