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Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch

Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch

Amazon Bedrock has enabled customers to build new delightful experiences for their customers using generative artificial intelligence (AI). 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, Stability AI, and Amazon through a single API, along with …

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Implement exact match with Amazon Lex QnAIntent

Implement exact match with Amazon Lex QnAIntent

This post is a continuation of Creating Natural Conversations with Amazon Lex QnAIntent and Amazon Bedrock Knowledge Base. In summary, we explored new capabilities available through Amazon Lex QnAIntent, powered by Amazon Bedrock, that enable you to harness natural language understanding and your own knowledge repositories to provide real-time, conversational experiences. In many cases, Amazon …

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How Krikey AI harnessed the power of Amazon SageMaker Ground Truth to accelerate generative AI development

How Krikey AI harnessed the power of Amazon SageMaker Ground Truth to accelerate generative AI development

This post is co-written with Jhanvi Shriram and Ketaki Shriram from Krikey. Krikey AI is revolutionizing the world of 3D animation with their innovative platform that allows anyone to generate high-quality 3D animations using just text or video inputs, without needing any prior animation experience. At the core of Krikey AI’s offering is their powerful …

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Manage Amazon SageMaker JumpStart foundation model access with private hubs

Manage Amazon SageMaker JumpStart foundation model access with private hubs

Amazon SageMaker JumpStart is a machine learning (ML) hub offering pre-trained models and pre-built solutions. It provides access to hundreds of foundation models (FMs). A private hub is a feature in SageMaker JumpStart that allows an organization to share their models and notebooks so as to centralize model artifacts, facilitate discoverability, and increase the reuse …

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eSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker

eSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker

eSentire is an industry-leading provider of Managed Detection & Response (MDR) services protecting users, data, and applications of over 2,000 organizations globally across more than 35 industries. These security services help their customers anticipate, withstand, and recover from sophisticated cyber threats, prevent disruption from malicious attacks, and improve their security posture. In 2023, eSentire was …

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Imperva optimizes SQL generation from natural language using Amazon Bedrock

Imperva optimizes SQL generation from natural language using Amazon Bedrock

This is a guest post co-written with Ori Nakar from Imperva. Imperva Cloud WAF protects hundreds of thousands of websites against cyber threats and blocks billions of security events every day. Counters and insights based on security events are calculated daily and used by users from multiple departments. Millions of counters are added daily, together …

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Create natural conversations with Amazon Lex QnAIntent and Knowledge Bases for Amazon Bedrock

Create natural conversations with Amazon Lex QnAIntent and Knowledge Bases for Amazon Bedrock

Customer service organizations today face an immense opportunity. As customer expectations grow, brands have a chance to creatively apply new innovations to transform the customer experience. Although meeting rising customer demands poses challenges, the latest breakthroughs in conversational artificial intelligence (AI) empowers companies to meet these expectations. Customers today expect timely responses to their questions …

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Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy, and efficiency. RAG achieves this enhancement without retraining the model, making …

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Connect to Amazon services using AWS PrivateLink in Amazon SageMaker

Connect to Amazon services using AWS PrivateLink in Amazon SageMaker

AWS customers that implement secure development environments often have to restrict outbound and inbound internet traffic. This becomes increasingly important with artificial intelligence (AI) development because of the data assets that need to be protected. Transmitting data across the internet is not secure enough for highly sensitive data. Therefore, accessing AWS services without leaving the …

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