Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

Favorite Generative AI agents are a versatile and powerful tool for large enterprises. They can enhance operational efficiency, customer service, and decision-making while reducing costs and enabling innovation. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content

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Shared by AWS Machine Learning February 8, 2024

The next chapter of our Gemini era

Favorite We’re bringing Gemini to more Google products. Bard will now be called Gemini, and you can access our most capable AI model, Ultra 1.0, in Gemini Advanced. View Original Source (blog.google/technology/ai/) Here.

Integrate QnABot on AWS with ServiceNow

Favorite Do your employees wait for hours on the telephone to open an IT ticket? Do they wait for an agent to triage an issue, which sometimes only requires restarting the computer? Providing excellent IT support is crucial for any organization, but legacy systems have relied heavily on human agents

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Shared by AWS Machine Learning February 6, 2024

Graph neural networks in TensorFlow

Favorite Posted by Dustin Zelle, Software Engineer, Google Research, and Arno Eigenwillig, Software Engineer, CoreML Objects and their relationships are ubiquitous in the world around us, and relationships can be as important to understanding an object as its own attributes viewed in isolation — take for example transportation networks, production

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Shared by Google AI Technology February 6, 2024

How HSR.health is limiting risks of disease spillover from animals to humans using Amazon SageMaker geospatial capabilities

Favorite This is a guest post co-authored by Ajay K Gupta, Jean Felipe Teotonio and Paul A Churchyard from HSR.health. HSR.health is a geospatial health risk analytics firm whose vision is that global health challenges are solvable through human ingenuity and the focused and accurate application of data analytics. In

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Shared by AWS Machine Learning February 5, 2024

Announcing support for Llama 2 and Mistral models and streaming responses in Amazon SageMaker Canvas

Favorite Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service for building and deploying machine learning (ML) models without the need to write any code. Ready-to-use Foundation Models (FMs) available in SageMaker Canvas enable customers to use generative AI for tasks such as content generation and summarization. We

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Shared by AWS Machine Learning February 5, 2024