Recent content by danielonideas

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

On Step-by-step troubleshooting tutorial for ChatGPT, the part about step and troubleshooting 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 when each...

For Krea AI, it helps to think in terms of inputs, constraints, verification, and iteration. 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 what actually improved the outcome. Another...