Recent content by samcof

A practical understanding of AI Research starts with knowing what the system does well, where it is unreliable, and how to validate the result. 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...

One thing worth trying with How do you improve reliability when working with AI Comparisons? is a controlled comparison around reliability and comparisons. Use the same input for each test and note what changes in the output rather than judging from a single run. The original point — "There are...

I have a question about General AI Business that may be useful for other people working with it too. I am particularly interested in limitations and integration. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What trade-offs have you...