I got a little bored after a couple of days of GUI work so I decided to try something different and re-run an AI experiment I tried a year or so ago. The goal of this experiement is to use an AI to design a starting point of a new AI system in the form of a small neural network library.
This time it still didn’t work on the first try, but the version it gave when I asked it to correct & simplify the code actually seems sorta okay-ish. It works for me as long as the number of epochs in the call to nn_train is increased to around 10,000 or higher. So it works, probably not as efficiently or reliably as the best neural network code, but maybe well enough for a starting point of a mini AI framework. UPDATE: The code of the working version has been uploaded as a second post (the post immediately after this one).
Side note: I used to be a small-time investor in the company behind Qwen (Alibaba, maybe better known for online retail) but I don’t currently hold any shares in it.
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