Recent content by isla_1e48

I am trying to improve my approach to DeepSeek and could use some practical advice. I am particularly interested in performance and deployment. I would like to compare approaches that people have actually used rather than just theoretical suggestions. Are there any settings, tools, or workflow...

The point about troubleshooting and local is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. That should make it easier to tell whether the change is actually helping.

When working with Learning AI, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is productivity. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...