Recent content by byte_millie

For Machine Learning, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is performance. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...

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