The introduction of transfer learning and pretrained language models in natural language processing (NLP) pushed forward the limits of language understanding and generation....
Today we’re announcing Amazon SageMaker Components for Kubeflow Pipelines. This post shows how to build your first Kubeflow pipeline with Amazon SageMaker components...
Preferred Networks (PFN) released the first major version of their open-source hyperparameter optimization (HPO) framework Optuna in January 2020, which has an eager API....
Sponsored Everyone seems alive to the potential of Artificial Intelligence in business and the public sector. According to research from PwC, worldwide we can expect to see a boost to economies of $15.7tn by 2030 as more organisations unlock new opportunities in big data and advanced analytics in such fields as financial services, retail, transport and government.…
Amazon Web Services (AWS) is happy to announce the general availability of Notebooks within Amazon SageMaker Studio. Amazon SageMaker Studio supports on-the-fly selection...
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NVIDIA open sources MONAI (Medical Open Network for AI), a framework developed by NVIDIA and King’s College London for healthcare professionals using best practices...
Many services you interact with today rely on machine learning (ML). From online search and product recommendations to speech recognition and language translation,...
You can now use Amazon Elastic Inference to accelerate inference and reduce inference costs for PyTorch models in both Amazon SageMaker and Amazon EC2. PyTorch is a popular deep learning framework that uses dynamic computational graphs. This allows you to easily develop deep learning models with imperative and idiomatic Python code. Inference is the process […]
