Recent content by ameliazone

I wanted to start a broader practical use cases thread around GPUs for Local AI. A useful angle is useful tools, but it also connects with evaluation. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...

One thing worth trying with Understanding DeepSeek Models: cost control and data quality is a controlled comparison around deepseek and models. Use the same input for each test and note what changes in the output rather than judging from a single run. That way you can improve the workflow...

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