Recent content by naomi_codes

A useful way to understand Deep Learning 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 what...

I wanted to start a broader tool comparison thread around General AI Coding. A useful angle is beginner tips, but it also connects with data quality. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...