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ModelMill
Logic-Based

Logic-based AI training

Literal Labs’ ModelMill enables to training and deployment of logic-based AI networks (LBNs). You can train and benchmark LBNs using private or open-source datasets.

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ModelMill

Automated training for Logic-Based Networks

ModelMill is the automated training platform for Logic-Based Networks — an AI architecture that runs up to 54× faster and uses 52× less energy than neural networks, on any 32-bit processor. No GPU required.

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    50× faster
    Up to 54× faster inference than neural networks on the same hardware
    50× less energy
    Up to 52× more energy efficient; 10 years on a coin-cell battery
    Best for edge
    Runs on any 32-bit CPU, MCU, or semiconductor. No GPU. No cloud dependency.
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    Be early to logic-based AILBNs
    Literal Labs is a UK startup pioneering logic-based AI, whose Logic-Based Networks (LBNs) deliver over to 50× faster inference with over 50× less energy use than neural networks, running efficiently and sustainably on standard MCUs and CPUs without the need for GPUs. Logic-based AI is trainable using ModelMill.
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