We've had a few questions recently about deploying large language models (LLMs) for text interrogation of biological publications. Essentially these questions are "where do I start"? In other words, PI says "I've heard of LLMs, okay student project. No idea what it's about but here's the theme" and the student posts here. In my personal view this ain't ideal academic line management.
Anyway, this isn't bioinformatics, so these posts are off-topic. This is because the primary data are text files, probably publication pdfs and whilst the theme of the data is biology, the data ain't a result of biological wet-lab experimentation. My personal view is these questions should be directed to Data Science Stackexchange and thats where I've transferred them previously.
Just for the record, I do know about LLMs. I've trained in them - not used in production. My job's analytics and LLMs are intriguing. Thus, IMHO they're great, potential huge, but they ain't bioinformatics.
