I've enjoyed using it for coming up with the structure of a project. I'll ask in search mode for structures of other similar projects if I'm not sure. I also enjoy making human-readable .md or .txt documentation files…
I believe this is the case also. With a well enough performing AI/ML/probabilistic model where you can change the model's input parameters and get a highly accurate prediction basically instantly, we can test theories…
I like the message, but I feel like this is bad data visualization. The width of each group of people is not the same, so it's somewhat meaningless to visually compare groups without being able to see the raw…
Especially since commonly followed wisdom seems to be "trust, but verify."
I've found that for questions that aren't super complex on things that are extremely likely to be in its training dataset (such as public documentation of popular Python libraries) the error rate is very close to 0%.…
I've enjoyed using it for coming up with the structure of a project. I'll ask in search mode for structures of other similar projects if I'm not sure. I also enjoy making human-readable .md or .txt documentation files…
I believe this is the case also. With a well enough performing AI/ML/probabilistic model where you can change the model's input parameters and get a highly accurate prediction basically instantly, we can test theories…
I like the message, but I feel like this is bad data visualization. The width of each group of people is not the same, so it's somewhat meaningless to visually compare groups without being able to see the raw…
Especially since commonly followed wisdom seems to be "trust, but verify."
I've found that for questions that aren't super complex on things that are extremely likely to be in its training dataset (such as public documentation of popular Python libraries) the error rate is very close to 0%.…