Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

Favorite The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. Responsible AI is a practice of designing, developing, and operating AI systems

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Shared by AWS Machine Learning November 15, 2024

Introducing Stable Diffusion 3.5 Large in Amazon SageMaker JumpStart

Favorite 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

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Shared by AWS Machine Learning November 14, 2024

Understanding prompt engineering: Unlock the creative potential of Stability AI models on AWS

Favorite 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

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Shared by AWS Machine Learning November 14, 2024

Simplify automotive damage processing with Amazon Bedrock and vector databases

Favorite In the automotive industry, the ability to efficiently assess and address vehicle damage is crucial for efficient operations, customer satisfaction, and cost management. However, manual inspection and damage detection can be a time-consuming and error-prone process, especially when dealing with large volumes of vehicle data, the complexity of assessing

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Shared by AWS Machine Learning November 14, 2024

Automate invoice processing with Streamlit and Amazon Bedrock

Favorite Invoice processing is a critical yet often cumbersome task for businesses of all sizes, especially for large enterprises dealing with invoices from multiple vendors with varying formats. The sheer volume of data, coupled with the need for accuracy and efficiency, can make invoice processing a significant challenge. Invoices can

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Shared by AWS Machine Learning November 14, 2024

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

Favorite Cloud costs can significantly impact your business operations. Gaining real-time visibility into infrastructure expenses, usage patterns, and cost drivers is essential. This insight enables agile decision-making, optimized scalability, and maximizes the value derived from cloud investments, providing cost-effective and efficient cloud utilization for your organization’s future growth. What makes

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Shared by AWS Machine Learning November 14, 2024

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

Favorite 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,

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Shared by AWS Machine Learning November 13, 2024