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Helping humans ride the GenAI evaluation wave

Project description

CI Coverage SPEC 0 Docs Python 3.12+ License

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GLIDE

Generative Label Inference & Debiasing Engine

🧭 What is GLIDE?

GLIDE is a Python library for rigorous evaluation of GenAI systems using hybrid human/proxy annotations.

🤔 Why GLIDE?

  • 🤖 GenAI applications are everywhere — and imperfect. Deployed systems make mistakes, and measuring how often matters.
  • ⚖️ LLM-as-judge is biased. Proxy evaluators (models, heuristics) are cheap but systematically over- or under-estimate true performance.
  • 🧑 Rigorous evaluation requires a human in the loop. Ground-truth labels from humans are expensive, so only a small subset is feasible.
  • 📐 GLIDE bridges the gap. It combines a small set of human annotations with a large set of proxy predictions to produce statistically valid metrics — correcting proxy bias without requiring full human labeling.

⚡ Quick Start

pip install glide-py

📚 Documentation

Documentation

🤝 Contributing

Contributions are welcome! Feel free to open an issue to report a bug or suggest a feature, or submit a pull request with your changes.

🔢 Versioning

This project follows Semantic Versioning (SemVer): MAJOR.MINOR.PATCH.

📦 Dependency Support

This project follows SPEC 0 for dependency support windows.

📄 License & Citation

This project is licensed under the Apache 2.0 License.

If you use Glide in your research, please cite:

@software{glide,
  title  = {GLIDE: Generative Label Inference \& Debiasing Engine},
  year   = {2026},
  url    = {https://github.com/EmertonData/glide},
}

🏛️ Affiliation

Developed at Emerton Data.

Emerton Data

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