Recent content by dailyjay

A useful way to understand AI Workstations is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is cost control. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

One thing worth trying with AI tutorial: how to improve collaboration with Model Training & Fine-Tuning is a controlled comparison around step and collaboration. Use the same input for each test and note what changes in the output rather than judging from a single run. The original point — "This...

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