CAI chose the path of failure. I'd like to offer a unique skill I have to help Pygmalion

This page summarizes the projects mentioned and recommended in the original post on /r/PygmalionAI
Deep Learning Pytorch volunteer-computing mixture-of-experts distributed-training

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  • hivemind

    Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

    • Do you know of BOINC? I got my idea from that. I believe I may be throwing too much at you, but first I think you should read this about volunteer computing. Sorry after reading it, but BOINC is not what we need. Instead I am thinking in the combination of hivemind and Petals. Especially Petals! I really can't quite sum it up correctly to convince everyone of the advantages of why it would be so awesome to be able to make it possible for everyone run the biggest PygmalionAI language model at home, BitTorrent-style, while also training it and improving it collaboratively.

  • petals

    🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

    • Do you know of BOINC? I got my idea from that. I believe I may be throwing too much at you, but first I think you should read this about volunteer computing. Sorry after reading it, but BOINC is not what we need. Instead I am thinking in the combination of hivemind and Petals. Especially Petals! I really can't quite sum it up correctly to convince everyone of the advantages of why it would be so awesome to be able to make it possible for everyone run the biggest PygmalionAI language model at home, BitTorrent-style, while also training it and improving it collaboratively.

  • 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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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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