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

AWS Machine Learning - AI

In this blog, we walkthrough the architectural components, evaluation criteria for the components selected by Vitech and the process flow of user interaction within VitechIQ. The Streamlit app is hosted on an Amazon Elastic Cloud Compute (Amazon EC2) fronted with Elastic Load Balancing (ELB), allowing Vitech to scale as traffic increases.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

It uses the provided conversation history, action groups, and knowledge bases to understand the context and determine the necessary tasks. This is based on the instructions that are interpreted by the assistant as per the system prompt and user’s input. Additionally, you can access device historical data or device metrics.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

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Top 13 GitHub Alternatives in 2020 [Free and Paid]

Codegiant

Scalable: The CI tests are run on separate machines. You can create API documentation, status pages, knowledge bases, product roadmaps, etc. Knowledge bases and FAQs. Amazons’ architecture is notorious for increasing the availability and durability of your repository data. It boasts tons of features.