Can you say a little more about how current genomic techniques rely on human interpretation? Is that mostly where you use an LLM (to act human-like), or is your approach different than that?
Current genomic techniques involve humans using a lot of different software (search, ranking models, visualizations, alignment algorithms, etc.) and synthesizing the results manually into a diagnosis.
Your assumption is correct about my technique. I cloned (and expanded) this workflow into an LLM harness, so the LLM is basically orchestrating a bunch of tools that normally humans would use (and writing the conclusions and doing all the standard LLM stuff).
