Recent content by cameronlogic79

A useful way to understand Neural Networks is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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 tell...

I wanted to start a broader ideas worth trying thread around DeepSeek Models. A useful angle is creative uses, but it also connects with troubleshooting. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...