I recently made them work with meeting presentation transcript. Mistral 7b (tiny one) was enough to reliably extract quite a lot of information!

- It could derive speaker names, based purely on how people called themselves in the conversation

- Drew a mermaid sequence diagram that wasn't perfect, but wasn't a complete garbage either. With few back and forth corrections it was on-point.

- Created a truly usable meeting notes

It was a much better UX than having to hunt down relevant video section, watch it and force to focus despite a lot of filler communication. That works very well for those kinds of 30 min. upward meeting, where the real content is in the spoken words and slides just reitarate that. I was really pleasantly surprised how much I liked that.

Also, some models can rate each speaker contribution :o)

Are people actually using this to 10x themselves / create actually profitable services already?

Or more like finetuning a model to have an edge on the leaderboards for a day or two then taking VC money, or integrating som "AI magic" into existing userbases?

I've been following the locallama sub on reddit and the few services created seem very niche besides tons of hobby stuff.