Recent content by ryan_27ax

I am trying to improve my approach to AI for Instagram and could use some practical advice. I am particularly interested in customisation and evaluation. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What trade-offs have you found...

The point about automation and people 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.

A useful way to understand Model Training & Fine-Tuning is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is testing. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...