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Hugging Face Models Now Integrated with Amazon Bedrock for Enhanced Generative AI Capabilities


Amazon has integrated its Bedrock platform with 83 open models from Hugging Face, providing developers with access to a wide range of pre-trained models for various tasks. This integration enables the creation of high-quality Generative AI applications using foundational models like Amazon Titan and leveraging Hugging Face's expertise in NLP, text classification, and more.

  • Amazon has integrated 83 open models from Hugging Face with its Bedrock platform, providing access to foundational models like Amazon Titan.
  • Developers can now build generative AI applications using SageMaker Jumpstart and leveraging Hugging Face's expertise in pre-trained models for various tasks.
  • The integration allows developers to only pay for Sagemaker compute resources, while regular Bedrock APIs prices apply.
  • Amazon plans to further enhance the capabilities of its Bedrock platform through partnerships with leading AI providers like Hugging Face.
  • A comprehensive guide is available to help developers deploy open models from the Bedrock Model Catalog.



  • Amazon has announced a significant integration between Hugging Face and its Bedrock platform, providing developers with access to 83 open models from popular providers like Hugging Face. These models can now be deployed on Amazon Bedrock, allowing developers to build their generative AI applications with the ease of use provided by SageMaker Jumpstart.

    This development marks an exciting milestone in the integration of AI technologies and cloud computing services. With the integration of these open models, developers can create high-quality generative AI applications using foundational models like Amazon Titan and leveraging Hugging Face's expertise in providing a wide range of pre-trained models for various tasks such as natural language processing, text classification, and more.

    Under the hood, Bedrock Marketplace model endpoints are managed by Amazon Sagemaker Jumpstart. This means that developers only pay for the Sagemaker compute resources, while regular Amazon Bedrock APIs prices apply. The integration is designed to provide a seamless experience for users who want to build their Generative AI applications using models from Hugging Face.

    The company has announced its intention to further enhance the capabilities of its Bedrock platform through partnerships with leading AI providers like Hugging Face. With this development, developers can now tap into the expertise and resources of these top providers to create more advanced and sophisticated generative AI applications.

    For those looking to start building their Generative AI applications using Hugging Face models on Amazon Bedrock, the company has provided a comprehensive guide that explains how to deploy an open model from the Bedrock Model Catalog. The process involves searching for the desired model in the catalog, clicking the 'Deploy' button to initiate deployment, and then obtaining the endpoint ARN to use with Amazon Bedrock APIs.

    This integration is expected to have significant implications for developers and businesses looking to leverage generative AI capabilities. With access to a wide range of high-quality models from Hugging Face, developers can now build more sophisticated applications that push the boundaries of what's possible in terms of AI-driven innovation.

    In conclusion, this development marks an exciting milestone in the integration of AI technologies and cloud computing services. The availability of 83 open models from popular providers like Hugging Face on Amazon Bedrock is expected to have significant implications for developers and businesses looking to leverage generative AI capabilities.



    Related Information:

  • https://huggingface.co/blog/bedrock-marketplace


  • Published: Mon Dec 9 12:39:07 2024 by llama3.2 3B Q4_K_M











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