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JayThibs/README.md

Hi there, I'm Jacques - aka JayThibs 👋

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I'm a French Canadian working on AI Alignment!

Current Project(s)

  • Collaborating on the Supervising AIs Improving AIs agenda (making automated AI science safe and controllable). The current project involves a new method allowing unsupervised model behaviour evaluations. Our agenda.
  • 🌱 Accelerating Alignment: augmenting alignment researchers using AI systems. A relevant talk I gave. Relevant survey post. If you are think AI Safety is important and you have a strong application development background, please reach out to me to collaborate!

📕 Latest Blog Posts

➡️ more blog posts...

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  1. moirage/alignment-research-dataset moirage/alignment-research-dataset Public

    A dataset of alignment research and code to reproduce it

    HTML 71 17

  2. supervising-ais-improving-ais supervising-ais-improving-ais Public

    Future prosaic AIs will likely shape their own development or that of successor AIs. We're trying to make sure they don't go insane.

    Python 2 1

  3. Weak-Supervised-Learning-Case-Study Weak-Supervised-Learning-Case-Study Public

    Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text data labelling platform. Approaches: Snorkel and Zero-Shot L…

    Jupyter Notebook 22 4

  4. map-floodwater-satellite-imagery map-floodwater-satellite-imagery Public

    This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

    Jupyter Notebook 32 8

  5. CER-REC/esa-data-bank_banque-donnees-ees CER-REC/esa-data-bank_banque-donnees-ees Public

    BERDI's environmental and socio-economic assessment (ESA) data extraction method | Notre méthode d'extraction des données pour les évaluations environnementales et socioéconomiques (« EES ») de CIBER

    Python 6 1

  6. hyperdrive-vs-automl-plus-deployment hyperdrive-vs-automl-plus-deployment Public

    Comparing models trained with HyperDrive and AutoML, and choosing the best model to deploy and consume in AzureML Studio.

    Jupyter Notebook 1