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Flower (YC W23)

Train AI models on distributed or sensitive data. Flower is a full-stack AI neolab with a mission to advance collaborative superintelligence by building open-source frontier models, agents, and infrastructure. We move the model to the data instead of moving the data to the model.

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  1. Federation of robots collaboratively train an object manipulation model

    github.com

    Flower: A Friendly Federated AI Framework

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    halluminate.ai

    Simulating the internet to train computer use

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  3. First autonomous ML and AI engineering Agent

    marketplace.visualstudio.com

    Extension for Visual Studio Code - Neo is an autonomous AI agent for machine learning engineers. Train, fine-tune, test and deploy ML workflows from natural language in VS Code. Iterate on real ML experiments, from data to deployment.

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    A shared research lab for your AI agents

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  5. UpTrain (YC W23)

    uptrain.ai

    Open-source performance monitoring for ML models

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