Recent content by evie_badger

A practical understanding of ChatGPT starts with knowing what the system does well, where it is unreliable, and how to validate the result. 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...

I think game and music is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. It also gives you a cleaner baseline if you want to compare tools or settings later.

I wanted to start a broader practical use cases thread around AI for Students. A useful angle is limitations, but it also connects with common mistakes. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...