If you are a marketer, here is a godd tools that yoo can use: excel

Both are not well related. You seem to argue that you should let AI do it's thing, what it's good at, without interfering, yet keep in mind that results are for humans, not for computers.

It's not about wanting a free open box tool. It's about the lack of transparency and accountability in the AI community. Developers need to take responsibility for their creations and provide support and feedback to users, particularly in critical applications like healthcare or finance. By providing more transparency and support, we can improve the quality and reliability of AI systems, which benefits everyone in the field.

What are your contributions to enabling users customizability of the result without retraining?

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>Not a huge fan of massive edits to original posts after people have started responding.

I am not here to make you happy.

Good questions. Machine learning models are usually black boxes, that work or don't as expected.

There is no detail tweaking possible, only re-training. And the specification for good training data is vague at best.

That causes unnecessary frustration, time-consumption and is similar to the blind leading the blind.

The attitude is "offer just more and more data and hope the ai will figure things out, if not, offer more". I am sure I am not the only one who sees fault in this approach.

Do you agree with the lack of influence or do you see many models where it does not apply, that give you a great deal of tweaking abilities?

If the latter, name them, so we can discuss that.