Recent content by elliot_creates

A useful way to understand Robot AI Models is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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 you can tell...

For Understanding GPUs: prompt design and performance, I would separate the problem into setup, output quality and repeatability. gpus and prompt fits into that because it can change the result quite a lot depending on the workflow. It also gives you a cleaner baseline if you want to compare...

I have been exploring AI Podcasting and wanted to ask people who have tried it in practice. I am particularly interested in setup choices and collaboration. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What has worked best for you...