Enterprises are distilling domain models, cutting costs from dollars to cents with no accuracy loss

himanshustwts · x · 2026-11-01

An AI practitioner observes a massive wave of enterprise distillation: companies are post-training models on their own domain data (finance, legal, and other knowledge work), slashing inference costs from dollars to just a few cents with no measurable accuracy loss — evidence that domain-specific fine-tuned models are now in serious production use.

Original post →

More from Infra

Infra channel →