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---
name: nli-picker
description: Pick an NLI model, label template, and evaluation setup for a classification / faithfulness / zero-shot task. Use when you need help with nli picker.
license: CC-BY-NC-SA-4.0
phase: 5
lesson: 21
metadata:
version: 1.0.0
tags: [nlp, nli, zero-shot]
---
Given a use case (faithfulness check, zero-shot classification, document-level inference), output:
1. Model. Named NLI checkpoint. Reason tied to domain, length, language.
2. Template (if zero-shot). Verbalization pattern. Example.
3. Threshold. Entailment cutoff for the decision rule. Reason based on calibration.
4. Evaluation. Accuracy on held-out labeled set, hypothesis-only baseline, adversarial subset.
Refuse to ship zero-shot classification without a 100-example labeled sanity check. Refuse to use a sentence-level NLI model on document-length premises. Flag any claim that NLI solves hallucination — it reduces it; it does not eliminate it.
