Intent Classification
Notes on Intent Classification for ML platform / Applied AI interview preparation. The file index below shows what's in scope; click through to the individual notes for the depth.
Interview talking points
- This is a sub-topic under Fine-Tuning-Foundational-Models. See the parent for the broader interview framing.
Files in this folder
| File | Title |
|---|---|
| 01-business_weighted_error_score_mangaassist.md | Business-Weighted Error Score for Intent Routing — MangaAssist |
| 01-cluster_based_new_intent_discovery_mangaassist.md | Cluster-Based New-Intent Discovery from Rejected / OOD Traffic — MangaAssist |
| 01-confidence_calibration_for_intent_routing_mangaassist.md | Confidence Calibration for Fine-Tuned Intent Routing — MangaAssist |
| 01-fine_tuning_dry_run_mangaassist.md | Fine-Tuning Dry Run Document — Intent Classifier (DistilBERT) for MangaAssist |
| 01-fine_tuning_numerical_worked_examples_mangaassist.md | Numerical Worked Examples for Fine-Tuning — MangaAssist Intent Classifier |
| 01-intent-classifier-fine-tuning.md | 01. Intent Classifier Fine-Tuning — DistilBERT for MangaAssist |
| 01-multi_intent_detection_mangaassist.md | Multi-Intent Detection for Intent Routing — MangaAssist |
| 01-ood_unknown_intent_detection_mangaassist.md | OOD / Unknown Intent Detection for Intent Routing — MangaAssist |
| README.md | Intent Classification — Folder Index |
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