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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot.

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Four generative AI use cases for businesses

CIO

As business leaders look to harness AI to meet business needs, generative AI has become an invaluable tool to gain a competitive edge. What sets generative AI apart from traditional AI is not just the ability to generate new data from existing patterns. Take healthcare, for instance.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. An example is a virtual assistant for enterprise business operations. Such a virtual assistant should support users across various business functions, such as finance, legal, human resources, and operations.

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Google’s Gemini isn’t the generative AI model we expected

TechCrunch

Google’s long-promised, next-gen generative AI model, Gemini, has arrived. Yesterday in a virtual press briefing, members of the Google DeepMind […] © 2023 TechCrunch. But I’m getting ahead of myself.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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Using Generative AI to Build Generative AI

O'Reilly Media - Ideas

On April 24, OReilly Media will be hosting Coding with AI: The End of Software Development as We Know It a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. Yes and no.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more.