How InfoJobs (Adevinta) improves NLP model prediction performance with AWS Inferentia and Amazon SageMaker

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  • amazon-sagemaker-examples

    Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

    In this section, we go through an example in which we show you how to compile a BERT model with Neo for AWS Inferentia. We then deploy that model to a SageMaker endpoint. You can find a sample notebook describing the whole process in detail on GitHub.

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    Open standard for machine learning interoperability

    2. Optimizing our models using openly available techniques such as quantization or open tools such as ONNX.

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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