AI

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing | Amazon Web Services

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing | Amazon Web Services

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM), making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Customers find it challenging to share and access ML models across AWS accounts because they have to set up complex AWS Identity and Access Management (IAM) policies and create custom integrations. With this launch, customers can now seamlessly share and access ML models registered in SageMaker Model Registry between different AWS accounts. Customers can use the SageMaker Studio UI or APIs to specify the…
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Introducing Stable Diffusion 3.5 Large in Amazon SageMaker JumpStart | Amazon Web Services

Introducing Stable Diffusion 3.5 Large in Amazon SageMaker JumpStart | Amazon Web Services

We are excited to announce the availability of Stability AI’s latest and most advanced text-to-image model, Stable Diffusion 3.5 Large, in Amazon SageMaker JumpStart. This new cutting-edge image generation model, which was trained on Amazon SageMaker HyperPod, empowers AWS customers to generate high-quality images from text descriptions with unprecedented ease, flexibility, and creative potential. By adding Stable Diffusion 3.5 Large to SageMaker JumpStart, we’re taking another significant step towards democratizing access to advanced AI technologies and enabling businesses of all sizes to harness the power of generative AI. In this post, we provide an implementation guide for subscribing to Stable…
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Understanding prompt engineering: Unlock the creative potential of Stability AI models on AWS | Amazon Web Services

Understanding prompt engineering: Unlock the creative potential of Stability AI models on AWS | Amazon Web Services

In the rapidly evolving world of generative AI image modeling, prompt engineering has become a crucial skill for developers, designers, and content creators. By crafting effective prompts, you can harness the full potential of advanced diffusion transformer text-to-image models, enabling you to produce high-quality images that align closely with your creative vision. Amazon Bedrock offers access to powerful models such as Stable Image Ultra and Stable Diffusion 3 Large, which are designed to transform text descriptions into stunning visual outputs. Stability AI’s newest launch of Stable Diffusion 3.5 Large (SD3.5L) on Amazon SageMaker JumpStart enhances image generation, human anatomy rendering,…
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Top 5 areas in the data pipeline with the least responsiveness

Top 5 areas in the data pipeline with the least responsiveness

Data pipelines are critical for organizations handling vast amounts of data, yet many practitioners report challenges with responsiveness, especially in data analysis and storage. Our latest generative AI report revealed that various elements within the pipeline significantly affect performance and usability. We wanted to investigate what could be affecting the responsiveness of the practitioners who reported issues. The main area of data workflow or pipeline where practitioners find the least responsiveness is data analysis (28.6%), followed by data storage (14.3%) and other reasons (14.3%), such as API calls, which generally take a significant amount of time.What factors have an impact…
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MegazoneCloud Joins AWS Generative AI Partner Innovation Alliance

Selected as a partner alongside eight major AWS partners globallyPlans to support the adoption and utilization of generative AI for business value creation for customers in Korea and Asia MegazoneCloud (CEO Max Lee), Asia’s largest cloud management company, has been selected as one of the nine global partners in the Generative AI Partner Innovation Alliance by Amazon Web Services (AWS), an Amazon.com, Inc. company. The alliance includes nine companies selected from AWS’s 130,000 partners across more than 200 countries, with MegazoneCloud as one of only two from Asia. Through the Generative AI Partner Innovation Alliance, AWS and MegazoneCloud will work together to provide a stable…
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I’m Out of Shape. Will an AI Trainer Improve My Fitness?

I’m Out of Shape. Will an AI Trainer Improve My Fitness?

I can tell this question comes from an honest place of wanting to reduce the harm you cause through your individual interactions with AI software, which we know is quite resource-intensive. But first, take a step back with me for a moment and free yourself from the guilt of existence.I would bet serious cash you’re an avid recycler as well? Someone who knows far too much about the different types of plastics and religiously sorts it all out like an upstanding citizen?While this is a great practice in theory, your recyclable items may actually end up getting incinerated, buried in…
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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services | Amazon Web Services

Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services | Amazon Web Services

In ecommerce, visual search technology revolutionizes how customers find products by enabling them to search for products using images instead of text. Shoppers often have a clear visual idea of what they want but struggle to describe it in words, leading to inefficient and broad text-based search results. For example, searching for a specific red leather handbag with a gold chain using text alone can be cumbersome and imprecise, often yielding results that don’t directly match the user’s intent. By using images, visual search can directly match physical attributes, providing better results quickly and enhancing the overall shopping experience. A reverse…
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Multilingual content processing using Amazon Bedrock and Amazon A2I | Amazon Web Services

Multilingual content processing using Amazon Bedrock and Amazon A2I | Amazon Web Services

The market size for multilingual content extraction and the gathering of relevant insights from unstructured documents (such as images, forms, and receipts) for information processing is rapidly increasing. The global intelligent document processing (IDP) market size was valued at $1,285 million in 2022 and is projected to reach $7,874 million by 2028 (source). Let’s consider that you’re a multinational company that receives invoices, contracts, or other documents from various regions worldwide, in languages such as Arabic, Chinese, Russian, or Hindi. These languages might not be supported out of the box by existing document extraction software. Anthropic’s Claude models, deployed on…
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