Recent content by oscar2833

A useful way to understand Neural Networks is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is common mistakes. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

For How do you improve customisation when working with Making Money with AI?, I would separate the problem into setup, output quality and repeatability. customisation and making fits into that because it can change the result quite a lot depending on the workflow. It also gives you a cleaner...

For AI for Teachers, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is setup choices. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...