Recent content by talks_reece

A useful way to understand AI Testing & Debugging is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is common mistakes. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...

A useful way to look at Key things to know about Datasets and productivity is to focus first on datasets and productivity. 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.

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