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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

With Bedrock’s serverless experience, one can get started quickly, privately customize FMs with their own data, and easily integrate and deploy them into applications using the AWS tools without having to manage any infrastructure. Alternatively, open-source technologies like Langchain can be used to orchestrate the end-to-end flow.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

It provides a modular and flexible framework for combining LLMs with other components, such as knowledge bases, retrieval systems, and other AI tools, to create powerful and customizable applications. Data preparation In this post, we use several years of Amazon’s Letters to Shareholders as a text corpus to perform QnA on.

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Top 13 GitHub Alternatives in 2020 [Free and Paid]

Codegiant

It has thorough documentation about importing and exporting data. You can create API documentation, status pages, knowledge bases, product roadmaps, etc. You can also share data with other trackers such as Bugzilla and Trac. Knowledge bases and FAQs. Versioning and aliasing for serverless requests?—?Track