Recent content by jay_1ly0

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

For General AI Cybersecurity knowledge guide: improving deployment, I would separate the problem into setup, output quality and repeatability. general and cybersecurity fits into that because it can change the result quite a lot depending on the workflow. That should make it easier to tell...

A practical understanding of Python starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is security. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...