Recent content by ivymountain

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

A useful way to look at Research Papers explained: a practical look at integration is to focus first on research and papers. That tends to make the trade-offs easier to compare. That way you can improve the workflow without losing track of what caused the improvement.

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