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feat(experiments): same-records head-to-head vs NVIDIA gliner-PII
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#23:
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feat: add --push-hf to publish trained GLiNER model to Hugging Face
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feat: context-gated ID detection — regex layer beats Presidio patterns
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feat: IPv6 detection — regex-layer IP F1 61%→96% on exp 006
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docs: feature OOD Presidio benchmark in README; update roadmap with m…
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test: OOD Presidio head-to-head benchmark (exp 006)
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docs: clarify exp005 (full-dataset tie) vs exp004 (healthcare cut, sl…
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docs: lead with full-100k result (exp 005) — matches NVIDIA at 3x sma…
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exp: add modal_train.py (sweep harness for gliner fine-tuning)
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exp 005: NVIDIA baseline replication on full 100k Nemotron-PII
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exp 004: truly fair comparison with NVIDIA at fine label granularity
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exp 003: symmetric label-sensitivity test on our model
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#12:
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docs: correct overstated claims after label-sensitivity test
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exp 003: independent verification — correct size claims
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exp 003: fine-tuned gliner_small-v2.1 beats nvidia/gliner-PII
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feat: learn CLI + benchmark suite proving compiled BERT beats cloud LLMs
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docs: add security model, competitive comparison, latency benchmarks,…
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docs: generalize clinical examples, remove ophthalmology specifics
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docs: expand LLM configuration and custom detector examples
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docs: add model benchmarks for local LLM entity detection
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feat: v0.2 — pluggable entity detection with local LLM layer
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chore: move repo to daslabhq org, update roadmap
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pii-proxy v0.1.0 — regex detection, faker replacement, bijective roun…
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