Recent content by masononmaker

  1. M

    A practical overview of Learning AI for performance

    For Learning AI, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is performance. 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...
  2. M

    Reinforcement Learning — what is changing around community experiences?

    I wanted to start a broader community experiences thread around Reinforcement Learning. A useful angle is integration, but it also connects with useful tools. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...