Recent content by aaron_forest

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

For Understanding MCP: beginner tips and customisation, I would separate the problem into setup, output quality and repeatability. mcp and beginner fits into that because it can change the result quite a lot depending on the workflow. It also gives you a cleaner baseline if you want to compare...

There are several ways to approach Mistral Models, so I wanted to compare experiences. I am particularly interested in data quality and collaboration. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What has worked best for you, and...