Guides·May 3, 2026·Marcus Lee
Bigger is not always better. A practical framework for matching models to problems.
Start from the constraint that matters most — latency, cost, accuracy, or privacy — and let it narrow the field before you compare anything else.
Often a small, well-tuned model beats a giant general one on your specific task, at a fraction of the cost.