Recent content by maxfuture97

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

One thing worth trying with Understanding AI Animation: evaluation and real-world use is a controlled comparison around animation and evaluation. Use the same input for each test and note what changes in the output rather than judging from a single run. That should make it easier to tell whether...

A useful way to understand Kotlin 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 can tell...