EleutherAI announces it has become a non-profit

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com
Machine Learning scikit-learn C Python Artificial intelligence

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  • emlearn

    Machine Learning inference engine for Microcontrollers and Embedded devices

    • > My big gripe, and for obvious reasons, is that we need to step away from cloud-based inference, and it doesn't seem like anyone's working on that.

    I think there are steps being taken in this direction (check out [1] and [2] for interesting lightweight transpile / ad-hoc training projects) but there is a lack of centralized community for these constrained problems.

    [1] https://github.com/emlearn/emlearn

  • m2cgen

    Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • Open-Assistant

    OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

    • I was looking for open alternatives to self hosted, or crowd hosted finetuned LLMs like ChatGPT and found LAION Open Assistant. Then found resources to further optimize inference as well as training:

    - Open source fine tuned assistants like LAION Open-Assistant [1]

    - inference optimizations like VoltaML, FlexGenm Distributed Inference [2]

    - training optimizations like Hivemind [2]

    1 https://github.com/LAION-AI/Open-Assistant

    2 https://github.com/underlines/awesome-marketing-datascience/...

  • awesome-ml

    Curated list of useful LLM / Analytics / Datascience resources

    • I was looking for open alternatives to self hosted, or crowd hosted finetuned LLMs like ChatGPT and found LAION Open Assistant. Then found resources to further optimize inference as well as training:

    - Open source fine tuned assistants like LAION Open-Assistant [1]

    - inference optimizations like VoltaML, FlexGenm Distributed Inference [2]

    - training optimizations like Hivemind [2]

    1 https://github.com/LAION-AI/Open-Assistant

    2 https://github.com/underlines/awesome-marketing-datascience/...

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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