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Develop a comprehensive RAG solution utilizing Knowledge Databases for Amazon Bedrock and AWS CloudFormation.

Advanced (300), Amazon Bedrock, Amazon Machine Learning, Amazon Titan, AWS CloudFormation, Generative AI, Integration & Automation, Technical How-to, UncategorizedAugust 6, 202434Views0Likes0Comments
Retrieval Augmented Generation (RAG) is a cutting-edge method for constructing question answering systems, blending retrieval and foundation model capabilities. This unique approach first draws relevant data from a large body of text, using a foundation model to forge an answer from the collated information. Setting up an RAG system entails several elements such as a…

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Enhance deep learning training speeds and streamline orchestration using AWS Trainium and AWS Batch.

AWS Batch, AWS Neuron, AWS Trainium, Integration & Automation, Intermediate (200), UncategorizedJune 18, 202434Views0Likes0Comments
Managing resources and workflows for large language model (LLM) training can be a significant challenge. Automating tasks such as resource provisioning, scaling, and workflow management is vital for optimizing resource usage and streamlining complex workflows. Combining AWS's machine learning acceleration tool Trainium with AWS Batch can simplify these processes. Trainium provides massive scalability and cost-effective access…

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Attain DevOps refinement with BMC AMI zAdviser Enterprise and Amazon Bedrock.

Amazon Bedrock, Customer Solutions, DevOps, Generative AI, Integration & Automation, Intermediate (200), Mainframe & Legacy, UncategorizedApril 3, 202430Views0Likes0Comments
Software engineering performance significantly impacts the building of sturdy, stable applications. The community aims to imbibe the engineering principles typical of software development, including systematic approaches to design, testing, development, and maintenance. This requires the careful amalgamation of applications and metrics to warrant complete control, awareness, and accuracy. This could be achieved through practices such…

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