different models.
high level approach:
N models receive the same prompt → responses are consolidated through a simple embedding-based similarity matrix → another model performs a simple assessment of deduplicated responses → these are then consolidated into a research report & data visualization.
the whole contraption uses ~10 different models, but more can easily be plugged into the initial generation phase. happy to demo it sometime! [edit: email on profile].
