Recent content by islathebuilds

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

A useful way to look at Exploring Natural Language Processing: mistakes and lessons is to focus first on natural and language. That tends to make the trade-offs easier to compare. It also gives you a cleaner baseline if you want to compare tools or settings later.

There are several ways to approach AI E-Commerce, so I wanted to compare experiences. I am particularly interested in best workflow and quality versus speed. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What would you tell someone...