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Import a question answering fine-tuned model into Amazon Bedrock as a custom model

Import a question answering fine-tuned model into Amazon Bedrock as a custom model

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Common …

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Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock

Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock

The Anthropic’s Claude 3 family of models, available on Amazon Bedrock, offers multimodal capabilities that enable the processing of images and text. This capability opens up innovative avenues for image understanding, wherein Anthropic’s Claude 3 models can analyze visual information in conjunction with textual data, facilitating more comprehensive and contextual interpretations. By taking advantage of …

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How Northpower used computer vision with AWS to automate safety inspection risk assessments

How Northpower used computer vision with AWS to automate safety inspection risk assessments

This post is co-written with Andreas Astrom from Northpower. Northpower provides reliable and affordable electricity and fiber internet services to customers in the Northland region of New Zealand. As an electricity distributor, Northpower aims to improve access, opportunity, and prosperity for its communities by investing in infrastructure, developing new products and services, and giving back …

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Announcing fine-tuning for customization and support for new models in Azure AI 

Announcing fine-tuning for customization and support for new models in Azure AI 

AI has revolutionized the way we approach problem-solving and creativity in various industries. From generating realistic images to crafting human-like text, these models have shown immense potential. However, to truly harness their power, customization is key. We are announcing new customization updates on Microsoft Azure AI including: General availability of fine-tuning for Azure OpenAI Service …

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GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock

GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock

Aerospace companies face a generational workforce challenge today. With the strong post-COVID recovery, manufacturers are committing to record production rates, requiring the sharing of highly specialized domain knowledge across more workers. At the same time, maintaining the headcount and experience level of the workforce is increasingly challenging, as a generation of subject matter experts (SMEs) …

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Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

Video generation has become the latest frontier in AI research, following the success of text-to-image models. Luma AI’s recently launched Dream Machine represents a significant advancement in this field. This text-to-video API generates high-quality, realistic videos quickly from text and images. Trained on the Amazon SageMaker HyperPod, Dream Machine excels in creating consistent characters, smooth …

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Control data access to Amazon S3 from Amazon SageMaker Studio with Amazon S3 Access Grants

Control data access to Amazon S3 from Amazon SageMaker Studio with Amazon S3 Access Grants

Amazon SageMaker Studio provides a single web-based visual interface where different personas like data scientists, machine learning (ML) engineers, and developers can build, train, debug, deploy, and monitor their ML models. These personas rely on access to data in Amazon Simple Storage Service (Amazon S3) for tasks such as extracting data for model training, logging …

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