Recent content by aidenhero

A useful way to understand Neural Networks is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is real-world use. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

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