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In the rapidly evolving landscape of AI, generative models have emerged as a transformative technology, empowering users to explore new frontiers of creativity and problem-solving. These advanced AI systems have transcended their traditional text-based capabilities, now seamlessly integrating multimodal functionalities that expand their reach into diverse applications. models have become increasingly powerful, enabling a wide …

Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart Read More »

Principal is a global financial company with nearly 20,000 employees passionate about improving the wealth and well-being of people and businesses. In business for 145 years, Principal is helping approximately 64 million customers (as of Q2, 2024) plan, protect, invest, and retire, while working to support the communities where it does business and build a …

Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI Read More »

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 cost visibility even more important for …

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

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 vary widely in format, structure, and …

Automate invoice processing with Streamlit and Amazon Bedrock Read More »

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 …

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing Read More »

Have you ever stumbled upon a breathtaking travel photo and instantly wondered where it was and how to get there? With 1.3 billion international arrivals in 2023, international travel is poised to exceed pre-pandemic levels and break tourism records in the coming years. Each one of these millions of travelers need to plan where they’ll …

Revolutionize trip planning with Amazon Bedrock and Amazon Location Service Read More »

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 vehicle damage, and the potential for …

Simplify automotive damage processing with Amazon Bedrock and vector databases Read More »

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 …

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

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 …

Introducing Stable Diffusion 3.5 Large in Amazon SageMaker JumpStart Read More »

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards, making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks. Model cards are an essential component for registered ML models, providing a standardized way to document …

Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry Read More »