Recent content by jade_2bui

When working with Large Language Models, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is testing. Define what a good result looks like before changing tools or settings, then test one variable at a time...

The point about no-code and automation 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. It is usually easier to troubleshoot when each change is tested on its own.

This tutorial shows a simple repeatable way to work with LM Studio while focusing on privacy considerations. 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...