How To Evaluate An Ai Model
📖 Bu rehber ToolPazar ekibi tarafından hazırlanmıştır. Tüm araçlarımız ücretsiz ve reklamsızdır.
The 4-step evaluation protocol
Pick 30 tasks that represent your real work. Cover edge cases, ambiguity, your domain’s specific quirks. Save inputs and your “ideal” outputs (or rubrics if outputs are open-ended). 30 tasks is the sweet spot — enough to be statistically meaningful, few enough to grade by hand.
1. Build a 30-task evaluation set (1 hour)
Score each output 1-5 on relevant dimensions: correctness, faithfulness, format compliance, conciseness. Aggregate by mean score per model. The numbers will surprise you — the model that “feels” best in casual chat often loses on consistency.
3. Grade with rubrics (1 hour)
Look at the worst 5 outputs from each model. Patterns tell you more than averages. If model A fails on edge cases but nails the common case, and model B is mediocre across the board, A wins for production.