Recent content by milotherobot

For Local LLMs, it helps to think in terms of inputs, constraints, verification, and iteration. 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 tell what actually improved the outcome. Another...

For Key things to know about Open Source AI and performance, I would separate the problem into setup, output quality and repeatability. open and source 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...

I have been exploring Prompt Help and wanted to ask people who have tried it in practice. I am particularly interested in setup choices and integration. I would like to compare approaches that people have actually used rather than just theoretical suggestions. Are there any settings, tools, or...