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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

Instructions – The following are some examples from the design instructions: Header Design: - Choose an attention-grabbing background color and font that aligns with the client's industry. All the information retrieved from Amazon Bedrock Knowledge Bases is provided with citations to improve transparency and increase accuracy.

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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. This unified experience enables developers to use the same tooling and workflows across both base FMs and imported custom models.

APIs 141
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Multilingual content processing using Amazon Bedrock and Amazon A2I

AWS Machine Learning

We specifically used the Rhubarb Python framework to extract JSON schema -based data from the documents. It uses Amazon Bedrock through the Boto3 API to use Anthropic’s Claude V3 multi-modal language models, but makes it straightforward to use file formats that are otherwise not supported by Anthropic’s Claude models.

APIs 100