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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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AI for Everyone: Conversational AI Explained

Towards AI

NLP process: Identify keywords: weather, today Understand intent: weather forecast request Generate a response AI response: Expect partly sunny skies with a light breeze today. NLG Generate: AI response: It looks like theres a 30% chance of showers this afternoon. Modern conversational AI can do much more.

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Chris Mahl, President and CEO at Pryon – Interview Series

Unite.AI

With unstructured data growing over 50% annually, our ingestion engine transforms scattered information into structured, actionable knowledge. How does Pryon ensure accuracy and minimize hallucinations when extracting information? Your Retrieval Engine promises instant, accurate, and verifiable answers.

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Evaluate conversational AI agents with Amazon Bedrock

AWS Machine Learning Blog

As conversational artificial intelligence (AI) agents gain traction across industries, providing reliability and consistency is crucial for delivering seamless and trustworthy user experiences. However, the dynamic and conversational nature of these interactions makes traditional testing and evaluation methods challenging.

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Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

Flipboard

With this new feature, when an agent node requires clarification or additional context from the user before it can continue, it can intelligently pause the flows execution and request user-specific information. This creates a more interactive and context-aware experience, because the node can adapt its behavior based on user responses.

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

AWS Machine Learning Blog

This wealth of content provides an opportunity to streamline access to information in a compliant and responsible way. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.