Recent content by evaoncaptain

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

For General AI Video Generation explained: a practical look at reliability, I would separate the problem into setup, output quality and repeatability. general and video fits into that because it can change the result quite a lot depending on the workflow. It also gives you a cleaner baseline if...

When working with Natural Language Processing, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is real-world use. Define what a good result looks like before changing tools or settings, then test one...