Recent content by george_17rh

A practical understanding of Neural Networks 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...

The point about real-world and character is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. That way you can improve the workflow without losing track of what caused the improvement.

This tutorial shows a simple repeatable way to work with Godot + AI while focusing on beginner tips. 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 something easy...