Recent content by sofia_2c8m

A useful way to understand llama.cpp 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...

For A practical overview of Stable Diffusion for setup choices, I would separate the problem into setup, output quality and repeatability. stable and diffusion fits into that because it can change the result quite a lot depending on the workflow. It is usually easier to troubleshoot when each...

This tutorial shows a simple repeatable way to work with General AI Business while focusing on creative uses. Step 1: Define the result you want. Write down the output format, quality requirements, and any limits before you start. Step 2: Prepare a small representative example. Test with...