Show HN: Shrewd – what I learned distilling LLM labels into local classifiers

What changed

Shrewd enables users to distill LLM-generated labels into efficient, specialized classifiers for on-device use.

Why you should care

Offers a practical method to reduce reliance on large models for simple classification tasks.

Your move

Test. Explore if distilled classifiers meet accuracy and latency needs for local deployment.

Evidence

Unverified sourceHacker News — LLM ↗

What to watch next

Community feedback on Shrewd’s performance across public benchmarks and real-world edge device tests.

Event

release

Event date

Sep 22, 2026

Relevant to

General AI readers