Common Concepts of ModelArts
ExeML
ExeML is the process of automating model design, parameter tuning, and model training, model compression, and model deployment with the labeled data. The process is code-free and does not require developers to have experience in model development. A model can be built in three steps: labeling data, training a model, and deploying the model.
Device-Edge-Cloud
Device-Edge-Cloud indicates devices, intelligent edge nodes, and the public cloud.
Inference
Inference is the process of deriving a new judgment from a known judgment according to a certain strategy. In AI, machines simulate human intelligence, and complete inference based on neural networks.
Real-Time Inference
Real-time inference specifies a web service that provides an inference result for each inference request.
Batch Inference
Batch inference specifies a batch job that processes batch data for inference.
Ascend Chip
The Ascend chips are a series of Huawei-developed AI chips with high computing performance and low power consumption.
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