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Compressing LSTM Models for Retail Edge Deployment: A Practical Comparison
There can be some practical constraints when it comes to deploying the AI models for retail environments. Retail environments can include store-level systems, edge devices, and budget conscious setup, especially for small to medium-sized retail companies. One such major use case is demand forecastin
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Ravi Teja Pagidoju
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