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Microsoft's Open-Source Semantic Kernel AI Toolkit Extends to AWS Cloud
Microsoft announced its open-source Semantic Kernel toolkit for integrating advanced AI models into applications is now available on the Amazon Web Services (AWS) cloud.
Specifically, Semantic Kernel, variously described as an SDK or toolkit, will be available via Amazon Bedrock, a serverless managed service that helps developers build and scale generative AI applications using foundation models from various providers. Those include models coming from providers ranging from AI21 Labs to Anthropic to Meta, along with AWS's own Titan models.
[Click on image for larger view.] Semantic Kernel (source: Microsoft).
With a new connector to Amazon Bedrock, developers can leverage functionality including Chat Completion, Text Generation, and Text Embeddings, depending on the model being used.
"The Semantic Kernel team is dedicated to empowering developers by providing access to the latest advancements in the industry," Microsoft said in a post last week. "We have integrated the new AWS Bedrock [sic] connector into Semantic Kernel, allowing you to seamlessly incorporate another model provider into your SK-based applications. Additionally, we offer samples demonstrating the usage and potential of the new connector. This will give you greater confidence in selecting the appropriate models for your business requirements. We encourage you to leverage your creativity and build remarkable solutions with SK!"
The post links to an Amazon Bedrock getting started guide.
It also contains getting-started guidance for Python and .NET developers, though Semantic Kernel also accommodates Java developers.
More information can be found in the project's GitHub repo.
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David Ramel is an editor and writer at Converge 360.