Recent content by chiefryan

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

This tutorial shows a simple repeatable way to work with Machine Learning 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...