Recent content by benonpixels

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

I think real-world and startups is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. It is usually easier to troubleshoot when each change is tested on its own.

I have been exploring AI Freelancing and wanted to ask people who have tried it in practice. I am particularly interested in quality versus speed and reliability. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What would you tell...