You're training embeddings with contrastive/triplet loss. How do you choose pairs, the margin, and negatives?

Metric learning lives or dies on the pairs you feed it. Random negatives teach almost nothing, and the margin and mining strategy decide whether the embeddings are any good. Here is how the choices interact.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.