Recent content by captain_olivia

A useful way to understand Reinforcement Learning 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...

I wanted to start a broader ideas worth trying thread around AI NPCs. A useful angle is productivity, but it also connects with limitations. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical examples...