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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. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.

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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

For MCP implementation, you need a scalable infrastructure to host these servers and an infrastructure to host the large language model (LLM), which will perform actions with the tools implemented by the MCP server. You ask the agent to Book a 5-day trip to Europe in January and we like warm weather.

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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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3 hard truths about GenAI’s large language models

CIO

During the last year, I’ve been fascinated to see new developments emerge in generative AI large language models (LLMs). Beyond the hype, generative AI is truly a watershed moment for technology and its role in our world. Bias By their very nature, generative AI LLMs are inherently biased.

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Judgment Day is coming… for AI

CIO

Artificial intelligence has great potential in predicting outcomes. While AI can predict the likelihood of precipitation, it most likely wont help you dress or prepare for inclement weather. Because of generative AI and large language models (LLMs), AI can do amazing human-like things such as pass a medical exam or an LSAT test.

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5 ways to deploy your own large language model

CIO

Generative AI is transforming the world, changing the way we create images and videos, audio, text, and code. According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months.

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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. Which LLM you want to use in Amazon Bedrock for text generation.