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GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3

APIs 100
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Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts

AWS Machine Learning

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

Use hybrid search and semantic search options via SDK When you call the Retrieve API, Knowledge Bases for Amazon Bedrock selects the right search strategy for you to give you most relevant results. You have the option to override it to use either hybrid or semantic search in the API. billion for 2021, 2022, and 2023.

APIs 116
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Product News – December 2022

Lumoa

Lumoa’s biggest features for 2022 Another year down! Lumoa can now pull your web data through an API, with no fees to setup, and it takes just a few minutes! The post Product News – December 2022 appeared first on Lumoa. Crazy how time flies. No code required! to get an overview of the whole process before you begin!

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Lumoa’s biggest features of 2022!

Lumoa

Lumoa’s biggest features for 2022 Another year down! Lumoa can now pull your web data through an API, with no fees to setup, and it takes just a few minutes! The post Lumoa’s biggest features of 2022! Crazy how time flies. Pull reviews from popular places like Facebook , Zendesk, Trustpilot, Amazon, and more!

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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

For example, a chatbot could suggest products that match a shopper’s preferences and past purchases, explain details in language adapted to the user’s level of expertise, or provide account support by accessing the customer’s specific records. It also supports source attribution and short-term memory needed for RAG applications. Choose Next.

Chatbots 105
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Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AWS Machine Learning

billion EUR (in 2022), a workforce of 336,884 employees (including 221,343 employees in Germany), and operations spanning 130 countries. Solution overview The architecture at Deutsche Bahn consists of a central platform account managed by a platform team responsible for managing infrastructure and operations for SageMaker Studio.

APIs 108