Pixtral Large is now available in Amazon Bedrock

Favorite Today, we are excited to announce that Mistral AI’s Pixtral Large foundation model (FM) is generally available in Amazon Bedrock. With this launch, you can now access Mistral’s frontier-class multimodal model to build, experiment, and responsibly scale your generative AI ideas on AWS. AWS is the first major cloud

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Shared by AWS Machine Learning April 11, 2025

Automating regulatory compliance: A multi-agent solution using Amazon Bedrock and CrewAI

Favorite Financial institutions today face an increasingly complex regulatory world that demands robust, efficient compliance mechanisms. Although organizations traditionally invest countless hours reviewing regulations such as the Anti-Money Laundering (AML) rules and the Bank Secrecy Act (BSA), modern AI solutions offer a transformative approach to this challenge. By using Amazon

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Shared by AWS Machine Learning April 11, 2025

Reduce ML training costs with Amazon SageMaker HyperPod

Favorite Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 million H100 GPU hours. On

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Shared by AWS Machine Learning April 11, 2025

Reduce ML training costs with Amazon SageMaker HyperPod

Favorite Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 million H100 GPU hours. On

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Shared by AWS Machine Learning April 11, 2025

Multi-LLM routing strategies for generative AI applications on AWS

Favorite Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. The multi-LLM approach enables organizations to effectively choose the right model

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Shared by AWS Machine Learning April 10, 2025

Multi-LLM routing strategies for generative AI applications on AWS

Favorite Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. The multi-LLM approach enables organizations to effectively choose the right model

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Shared by AWS Machine Learning April 10, 2025

Boost team productivity with Amazon Q Business Insights

Favorite Employee productivity is a critical factor in maintaining a competitive advantage. Amazon Q Business offers a unique opportunity to enhance workforce efficiency by providing AI-powered assistance that can significantly reduce the time spent searching for information, generating content, and completing routine tasks. Amazon Q Business is a fully managed,

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Shared by AWS Machine Learning April 10, 2025