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Enhance insight into the use and functioning of Amazon Bedrock through Amazon CloudWatch.

Amazon Bedrock, a managed service that offers a selection of foundation models from leading AI companies, empowers users to build new, delightful experiences for their customers using generative AI. As a response to end users' curiosity for prescriptive ways to monitor generative AI applications' health and performance in an operational environment, Amazon Bedrock has introduced…

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Enhance insight into the use and efficiency of Amazon Bedrock through Amazon CloudWatch.

Amazon Bedrock, a generative artificial intelligence (AI) service, allows customers to build new and delightful user experiences using high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, and Meta. Users can use these models securely, privately, and responsibly through a single API, along with a broad set of capabilities for building…

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Utilize AWS PrivateLink to access Amazon services in Amazon SageMaker.

When working with AI development, AWS customers often need to restrict outbound and inbound internet traffic due to the sensitive data they work with. Transmitting data across the internet is typically not secure enough for highly sensitive data; hence, accessing AWS services without leaving the AWS network can enhance security. AWS users can enhance the…

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Create a personalized user interface for Amazon Q Business.

Amazon Q, an AI-driven assistant developed for businesses, allows organizations to quickly find relevant solutions to important issues, streamline tasks, make quicker decisions, and promote innovation. Users can customize Amazon Q to match their business's branding and requirements. This blog post provides a guide on how to create a personalized user interface (UI) for Amazon Q…

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Utilizing AI-driven chatbot technology, Vitech taps into the power of Amazon Bedrock to transform access to information.

Vitech, a global provider of cloud-centered benefit and investment administration software, faced challenges with unstructured and isolated data across various internal platforms. The lack of a centralized and easily navigable knowledge system affected productivity and data consistency. To address this, Vitech collaborated with AWS to build VitechIQ, an AI-powered chatbot that accesses an internal repository…

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Improve image search experiences using Amazon Personalize, Amazon OpenSearch Service, and Amazon Titan Multimodal Embeddings within Amazon Bedrock.

Historically, image captioning and text-to-image search have fascinated machine-learning practitioners and businesses. The open-source models, Contrastive Language-Image Pre-training (CLIP) and Bootstrapping Language-Image Pre-training (BLIP), were the first to produce near-human results. Recently, multimodal models using generative models are being used to map text and images to the same embedding space for best results. Amazon has…

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Generating style item descriptions by refining a visual-language model using SageMaker and Amazon Bedrock.

Creating high-quality product descriptions for millions of products is a significant challenge in online retail. Machine learning (ML) and natural language processing (NLP) technologies can automate this task, vastly improving the searchability of products and increasing customer satisfaction. This article presents a method of predicting domain-specific product attributes from product images with a fine-tuned Vision-Language…

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