Deploy generative AI self-service question answering using the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra, and Amazon Bedrock | Amazon Web Services
Deploy generative AI self-service question answering using the Qn…
Aug 30, 2023
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933 reactions · 19 shares | Tear down inefficient data pipelines & build anew. ️☁️ Amazon SageMaker leverages powerful SQL capabilities from Amazon Redshift to analyze your unified data enabling near real time analytics to accelerate decision-making without building complex data pipelines. Unclog your data flow & let insights pour in. ️ https://go.aws/3Bitq8d | Amazon Web Services | Facebook
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933 reactions · 19 shares | Tear down inefficient data pipelines & b…
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1.4K reactions · 24 shares | Unlock the power of your data with a unified data & AI platform. ☁️ Introducing the next generation of Amazon SageMaker, a unified data & AI platform optimized for collaboration within teams to scale your analytics & AI initiatives. Pair widely adopted ML services with the most comprehensive set of analytic capabilities for enhanced, data-driven innovation. ️ https://go.aws/49iZwxc | Amazon Web Services | Facebook
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Ditch the development pit stops for uninterrupted innovation in a secure environment. 🛞🚦☁️ With AI apps from AWS partners, now in Amazon SageMaker, you can discover, deploy, & use popular apps from AWS partners securely within your SageMarker environment. All systems go for accelerated model building with a seamless, fully managed experience. 🖇️ https://go.aws/3OFiMM0 | Amazon Web Services
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Ditch the development pit stops for uninterrupted innovation in a secu…
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479K views · 1.4K reactions | Sensitive data should never be left out in the cold. ☁️❄️ Amazon SageMaker gives you the tools, workflows, & fully managed infrastructure to grow your business—with added layers of protection that let you build, train, & deploy machine learning models to support generative AI applications in a secure, toasty cloud environment. 理 https://go.aws/490iuYT | Amazon Web Services | Facebook
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Want to learn how to build, train & deploy a machine learning (ML) model? You can with Amazon SageMaker through this 7-step tutorial. Amazon SageMaker is a modular, fully managed ML service that has enabled many developers & data scientists to turn their visions into a reality, & it can do the same for you! You can enjoy 250 hours per month of t2.medium notebook with Amazon SageMaker by signing up for a Free Tier account. https://go.aws/2YxcvHQ | Amazon Web Services
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