Recent content by daisy_1e7l

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 performance. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

One thing worth trying with Go — what is changing around tool comparison? is a controlled comparison around around and tool. Use the same input for each test and note what changes in the output rather than judging from a single run. It is usually easier to troubleshoot when each change is tested...

A useful way to understand AI Projects 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 tell what...