Recent content by thinkstheo

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

On Key things to know about Natural Language Processing and testing, the part about natural and language stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. It is usually easier to troubleshoot...

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