Recent content by ideas_logan

For LM Studio, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is data quality. 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...

On performance question: how do you handle Llama Models?, the part about performance and llama 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...

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