Recent content by ryan962

There are several ways to approach Large Language Models, so I wanted to compare experiences. I am particularly interested in collaboration and accessibility. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What trade-offs have you...

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