Recent content by evanonquest

A practical understanding of Ollama 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 tell...

The point about device and help 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. It is usually easier to troubleshoot when each change is tested on its own.

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