Recent content by connoronvision

  1. connoronvision

    Key things to know about Mistral Models and data quality

    A useful way to understand Mistral Models is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is data quality. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what...
  2. connoronvision

    A practical overview of AI SaaS for automation

    The point about saas and automation is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. It is usually easier to troubleshoot when each change is tested on its own.
  3. connoronvision

    Grok knowledge guide: improving privacy considerations

    When working with Grok, 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 time so...