That’s pretty cool. Are you aware, whether there are any good works towards tool-assisted LLMs? There are a huge number of databases with biological data (connectomes, phenotypes, variants), especially in the field of genetics, where individual analysis is somewhat bounded by human interpretation capacity. Potentially LLMs can already be used in a guided manner, that could greatly accelerate analysis.
On a cursory search, this seems to be fairly low hanging, and a number of preprints in different areas seem to exist, although I didn’t really investigate them in detail:
That’s pretty cool. Are you aware, whether there are any good works towards tool-assisted LLMs? There are a huge number of databases with biological data (connectomes, phenotypes, variants), especially in the field of genetics, where individual analysis is somewhat bounded by human interpretation capacity. Potentially LLMs can already be used in a guided manner, that could greatly accelerate analysis.
On a cursory search, this seems to be fairly low hanging, and a number of preprints in different areas seem to exist, although I didn’t really investigate them in detail:
https://pmc.ncbi.nlm.nih.gov/articles/PMC11071539/
https://www.nature.com/articles/s41698-025-00935-4
To me at least whole-genome interpretation seems currently somewhat bottlenecked by human interpretation capacity.