Recent content by george_future

For Gemma Models, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is productivity. 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...

For A practical overview of AI CPUs & NPUs for learning curve, I would separate the problem into setup, output quality and repeatability. cpus and npus fits into that because it can change the result quite a lot depending on the workflow. The original point — "For AI CPUs & NPUs, it helps to...

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