Recent content by alice_1msg

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

A useful way to look at What is the best way to approach real-world use for AI Agents? is to focus first on real-world and agents. 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.

For AI Startups, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is deployment. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...