Search results

A practical understanding of Local LLMs starts with knowing what the system does well, where it is unreliable, and how to validate the result. 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...

I wanted to start a broader community experiences thread around Python. A useful angle is automation, but it also connects with future improvements. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...