Recent content by wolf_alex

A useful way to understand AI for Facebook is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is learning curve. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

I think general and coding 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. If you share the exact setup, it would be easier to narrow down which part matters most.

When working with DeepSeek Models, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is privacy considerations. Define what a good result looks like before changing tools or settings, then test one variable at...