Recent content by mountain_ruby

A practical understanding of AI Privacy starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is deployment. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...

One thing worth trying with Key things to know about Learning AI and data quality is a controlled comparison around learning and data. Use the same input for each test and note what changes in the output rather than judging from a single run. That way you can improve the workflow without losing...

A useful way to understand Browser Agents is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is advanced workflows. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...