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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 guided by a set of dimensions …

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

In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) with a text-only knowledge base. We gave practical tips, based on hands-on experience with customer use cases, on how to improve text-only RAG solutions, from optimizing the retriever to mitigating and detecting hallucinations. This post …

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2 Read More »

The Cohere Embed multimodal embeddings model is now generally available on Amazon SageMaker JumpStart. This model is the newest Cohere Embed 3 model, which is now multimodal and capable of generating embeddings from both text and images, enabling enterprises to unlock real value from their vast amounts of data that exist in image form. In …

Cohere Embed multimodal embeddings model is now available on Amazon SageMaker JumpStart Read More »

This post is co-written with Mayur Patel, Nick Koenig, and Karthik Jetti from GoDaddy. GoDaddy empowers everyday entrepreneurs by providing all the help and tools to succeed online. With 21 million customers worldwide, GoDaddy’s global solutions help seamlessly connect entrepreneurs’ identity and presence with commerce, leading to profitable growth. At GoDaddy, we take pride in …

How GoDaddy built Lighthouse, an interaction analytics solution to generate insights on support interactions using Amazon Bedrock Read More »

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 »