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Resilient architectures are the foundation upon which successful businesses are built. However, keeping up with the latest advancements and making sure your systems are resilient can be a daunting task. Between monitoring, analyzing, and documenting architectural findings, a lack of crucial information can leave your organization vulnerable to potential risks and inefficiencies. Even when architectural …

Generate AWS Resilience Hub findings in natural language using Amazon Bedrock Read More »

Recent enhancements in the field of generative AI, such as media generation technologies, are rapidly transforming the way businesses create and manipulate visual content. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, …

Generate and evaluate images in Amazon Bedrock with Amazon Titan Image Generator G1 v2 and Anthropic Claude 3.5 Sonnet Read More »

This post is co-authored with Nishant Gupta from InsuranceDekho. The insurance industry is complex and overwhelming, with numerous options that can be hard for consumers to understand. This complexity hinders customers from making informed decisions. As a result, customers face challenges in selecting the right insurance coverage, while insurance aggregators and agents struggle to provide …

How InsuranceDekho transformed insurance agent interactions using Amazon Bedrock and generative AI Read More »

James Manyika’s opening remarks from the AI for Science Forum.

Google.org announced a $20 million commitment to support AI for scientific breakthroughs. Learn more about what the commitment entails

Google DeepMind and the Royal Society are co-hosting the AI for Science Forum to explore how AI is rapidly accelerating science.

A recap of the some of the biggest scientific breakthroughs over the past two years.

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 »