How are founders finetuning AI with limited resources?
I'm seeing a lot of specialized AI's based on ChatGPT and such, which clearly needed a lot of fine-tuning to do (e.g. DeepTutor).
How are founders managing to do finetuning with limited resources? I am under the impression that finetuning is human labor intensive. It clearly isn't.
> I am under the impression that finetuning is human labor intensive. It clearly isn't.
It can be labor-intensive and cheap. Amazon's MTurk and similar services offer tuning at wages barely above starvation level even for Global South countries.
https://dataworkers.org/