>Fine-tuning is a good technique to have in a toolbox, but in reality, it is feasible only in some use cases.
Yes, 100s of housands of them
Yes, 100s of housands of them
From fine-tuning for coding assist, to medical applications, customer support, legal and financial use cases, various classification tasks, for government work, statistics, language learning, music, education, even for role playing game character AI...
I'd rather have a fine-tuned model specialized to any of those tasks and countless others when I'm doing one of those tasks, than a jack of all trades...