Recent content by luciapilot

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 privacy considerations. Define what a good result looks like before changing tools or settings, then test one variable at a...

For Meta AI, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is troubleshooting. 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...