Recent content by harry2291

I wanted to start a broader setup showcase thread around Datasets. A useful angle is learning curve, but it also connects with getting started. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical examples...

I think news and evaluation 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. That should make it easier to tell whether the change is actually helping.

A useful way to understand Ollama is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is reliability. 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...