Recent content by tom_builder

A practical understanding of llama.cpp starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is reliability. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...

On Key things to know about GPUs for Local AI and accessibility, the part about gpus and local stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. If you share the exact setup, it would be easier...

When working with AI Tool Recommendations, 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...