Recent content by wolfsienna

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

A practical understanding of AI Startups starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is limitations. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...