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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 110
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Integrate foundation models into your code with Amazon Bedrock

AWS Machine Learning

Enter Amazon Bedrock , a fully managed service that provides developers with seamless access to cutting-edge FMs through simple APIs. Solution overview Amazon Bedrock provides a simple and efficient way to use powerful FMs through APIs, without the need for training custom models. If you don’t have one, you can create a new account.

APIs 108
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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. 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.

APIs 124
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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. Filters on the release version, document type (such as code, API reference, or issue) can help pinpoint relevant documents. If you want to follow along in your own AWS account, download the file.

APIs 123
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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Code talks – In this new session type for re:Invent 2023, code talks are similar to our popular chalk talk format, but instead of focusing on an architecture solution with whiteboarding, the speakers lead an interactive discussion featuring live coding or code samples. AWS DeepRacer Get ready to race with AWS DeepRacer at re:Invent 2023!

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Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

To address this challenge, this post demonstrates a proactive approach for security vulnerability assessment of your accounts and workloads, using Amazon GuardDuty , Amazon Bedrock , and other AWS serverless technologies. The Lambda function calls Anthropic’s Claude 3 Sonnet model through Amazon Bedrock APIs with the input request.

APIs 68
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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning

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, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.