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@ki-macht-schule @dynamical-inference @LLMs4Europe

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ppommer/README.md

Hi, I'm Paul 👋

I'm a research engineer at the Dynamical Inference Lab building robust and interpretable machine learning tools for decompiling biological computations. Currently, I'm setting up transformer experiments on brain data at scale to study how multi-modal neural datasets can be compressed into foundation models.

I'm also a software engineer at KI macht Schule, a non-profit science communication organization teaching ML basics to high school students. We provide teachers with modern teaching software and are the first company to offer fully German-hosted LLMs for education purposes.

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  1. bigscience-workshop/metadata bigscience-workshop/metadata Public

    Experiments on including metadata such as URLs, timestamps, website descriptions and HTML tags during pretraining.

    Python 30 12

  2. master-thesis master-thesis Public

    Code and evaluation data for my Master's thesis on flavor detection and bias mitigation.

    Python

  3. angular-spring-app angular-spring-app Public

    Example web app featuring an Angular frontend, a Spring backend, an authentication framework, and access to different APIs.

    TypeScript

  4. traceroute traceroute Public

    Determination of paths to a target computer and identification of associated nodes (routers) that forward packets.

    C

  5. extended-precision-arithmetic extended-precision-arithmetic Public

    64-bit extended precision arithmetic for fixed-point numbers on x86.

    Assembly

  6. go-democracy go-democracy Public

    Hackathon concept for scanning election posters and receiving information about political parties, candidates and topics.

    Swift