Recent content by jamie_wild

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

On A practical overview of Fine-Tuning for data quality, the part about fine-tuning and data 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. That way you can improve the workflow without losing...

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