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Nearly every company wants to evolve its digital transformation and increase the pace of software delivery and operations. And infrastructure automation is a new means to achieve these ends. It supports the emerging discipline of platform engineering and can increase scalability and reactivity to unforeseen events, enabling software ecosystems to be more anti-fragile. Increased infrastructure […] View the full article
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Amazon SageMaker JumpStart helps you quickly and easily solve your machine learning problems with one-click access to (a) more than 300 popular model collections from TensorFlow Hub, PyTorch Hub, Hugging Face and Gluon CV, and (b) 18 end-to-end solutions that solve common business problems such as demand forecasting, fraud detection and document understanding. The available models can be used for a wide range of machine learning tasks including image classification, object detection, semantic segmentation, instance segmentation, image embedding, text classification, sentence pair classification, question answering, text embedding, text summarization, text generation, machine translation, tabular classification and tabular regression. View the full article
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