I think we'll eventually hit an information theoretic type of wall with physical hardware and GPUs and need a similar AI breakthrough as well as the development refinement of logical/physical qubits in the quantum…
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'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 think we'll eventually hit an information theoretic type of wall with physical hardware and GPUs and need a similar AI breakthrough as well as the development refinement of logical/physical qubits in the quantum…
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'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%.…