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Announcements

Amazon Bedrock’s Knowledge Bases now have the functionality to filter metadata, enhancing the precision of data retrieval.

During the AWS re:Invent 2023, Amazon announced the general availability of Knowledge Bases for Amazon Bedrock. This allows secure connection of foundation models in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model. This feature helps in improving the accuracy of the generated responses from foundation models depending upon the…

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Enhancing Content Moderation using Amazon Rekognition’s Mass Analysis and Personalized Moderation

Amazon Rekognition is designed to easily incorporate image and video analysis into applications, all backed by the robust deep learning technology engine developed by Amazon. The technology does not require machine learning expertise for usage and continuously boosts its system with fresh computer vision features. Amazon Rekognition presents a user-friendly API which can rapidly assess…

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AWS and Mistral AI pledge to make generative AI accessible to all through an enhanced partnership.

The shift towards generative artificial intelligence (AI) is becoming increasingly apparent, with businesses of all sizes and industries leveraging the technology to transform their operations. Generative AI is reshaping the interaction with machines, offering more intuitive and accessible workflows, and enhancing decision-making through rapid information processing. Many companies have started to integrate generative AI applications…

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Enhance your content editing using Contentful and Amazon Bedrock.

Contentful, in combination with Amazon Bedrock, has launched an app called the AI Content Generator. This app, available in the Contentful Marketplace, utilizes artificial intelligence models from Amazon Bedrock to create, rewrite, summarize, and translate content. The intention behind the AI Content Generator is to help content creators efficiently produce high-quality and consistent material. Contentful is…

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Code Llama 70B can now be accessed via Amazon SageMaker JumpStart.

Meta has developed Code Llama, a state-of-the-art language model, aimed at generating code and assisting with coding tasks, and it is now available through Amazon's SageMaker JumpStart. Code Llama operates in Python, C++, Java, PHP, C#, TypeScript, and Bash, with the aim of boosting developers' productivity and streamlining software processes. The model explores three variations…

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