01Deep dive
Meaning and practical implications
Define hard constraints first, then compare acceptable candidates on outcome quality, latency, and total cost. Keep a held-out evaluation set to reduce the risk of selecting for the test examples alone.
Model selection is the process of choosing a model for a task using explicit requirements and evaluation evidence. It can occur at design time or as part of request routing.
Define hard constraints first, then compare acceptable candidates on outcome quality, latency, and total cost. Keep a held-out evaluation set to reduce the risk of selecting for the test examples alone.
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