Recent content by adambyte

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

On Swift discussion: mistakes and lessons, the part about swift and lessons stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. It is usually easier to troubleshoot when each change is tested on...

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