Lol same, writing SQL and directly wrangling Async connection pools always seemed way easier for me than trying to jam sqlalchemy into whatever hole I'm working with.
I think the idea here is that your first approach is what you think is correct. However, there's a chance the model is just outputting text that confirms your incorrect approach.
The second one is a different perspective that is supposed to be obviously wrong, but what if it isn't actually obviously wrong and it turns out that the model is outputting text that confirms what is actually the correct answer for something you thought was wrong?
The third one is then a prompt that pushes for contradiction between the two approaches you propose to the model to identify the correct answer or at least send you in the correct direction.
I know someone who uses it to design clean drinking water distribution systems in rural communities in Central America. They would not be able to do what they do if they had to pay for an expensive commercial licence.
Desktop EPANET is still windows-only though, so having a browser version is pretty cool.
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