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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. This streamlines the ML workflows, enables better visibility and governance, and accelerates the adoption of ML models across the organization.

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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

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. Now, employees at Principal can receive role-based answers in real time through a conversational chatbot interface.

Chatbots 114
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ChatGPT – is it the answer to customer service?

CCNG

ChatGPT is Chatbot. It is a super powered chatbot that can do many things earlier generation chatbots couldn’t do. Like all chatbots, it has been programmed to deliver an answer to a question. However, unlike previous chatbots, it does not rely on specific programming to deliver each answer. What is ChatGPT?

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How IDIADA optimized its intelligent chatbot with Amazon Bedrock

AWS Machine Learning

Within this landscape, we developed an intelligent chatbot, AIDA (Applus Idiada Digital Assistant) an Amazon Bedrock powered virtual assistant serving as a versatile companion to IDIADAs workforce. Conclusion The optimization of AIDA, Applus IDIADAs intelligent chatbot powered by Amazon Bedrock, has been a resounding success.

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How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

AWS Machine Learning

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. In this collaboration, the AWS GenAIIC team created a RAG-based solution for Deltek to enable Q&A on single and multiple government solicitation documents.

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Enhancing LLM Capabilities with NeMo Guardrails on Amazon SageMaker JumpStart

AWS Machine Learning

Retrieval and Execution Rails: These govern how the AI interacts with external tools and data sources. When integrating models from SageMaker JumpStart with NeMo Guardrails, the direct interaction with the SageMaker inference API requires some customization, which we will explore below. The Llama 3.1 Heres how we implement this.

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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning

Document upload When users need to provide context of their own, the chatbot supports uploading multiple documents during a conversation. We deliver our chatbot experience through a custom web frontend, as well as through a Slack application.

Sales 96