As an AI language model, I am familiar with the term "ELL" or "Embedded Learning Library". It is a software toolkit developed by Microsoft to allow developers to build machine learning models that run directly on small, low-powered devices such as microcontrollers, while also allowing models to run on cloud services.
ELL is aimed at enabling machine learning at the edge (in devices such as sensors, cameras, and other IoT devices), which can have a profound impact on the performance and cost of applications. It supports a wide range of machine learning models including object recognition, sound classification, and speech recognition. ELL can be used across a range of sectors including healthcare, manufacturing, retail, and agriculture.
Overall, ELL is an exciting development in the field of machine learning which has the potential to revolutionize the industry by enabling artificial intelligence to be deployed and maintained efficiently and effectively on smaller devices, improving their functionality and versatility.
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