Recent content by milo_dbm

For Local LLMs, it helps to think in terms of inputs, constraints, verification, and iteration. 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 what actually improved the outcome...

For AI Comparisons, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is security. 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...