This is a well-structured and informative post on LLM hallucinations in drug discovery! The breakdown of the reasons behind hallucinations (lack of comprehension, faulty data, etc.) is clear and concise. The three mitigation strategies (prompt engineering, fine-tuning, grounding) all seem very promising.

For those unfamiliar with prompt engineering, here's a helpful intro: https://www.linkedin.com/pulse/power-prompt-engineering-unleashing-potential-chatgpt-karmakar

I especially liked the explanation of factual grounding - a crucial step for ensuring reliable outputs in critical fields like drug discovery. The LENSᵃⁱ platform integrating RAG-enhanced bioLLMs sounds like a powerful solution! Overall, a great exploration of a significant challenge in scientific LLMs.