This cross-region inference capability in Amazon Bedrock enables customers to build highly scalable, resilient, and cost-effective generative AI applications that can adapt to dynamic usage patterns and regional variations, all while leveraging the consistency and simplicity of the Bedrock API.
Category:
Generative AI
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GenAIGenerative AI
The Lifecycle of Large Language Models: From Development to Deployment (with real world examples)
This blog explores the lifecycle of LLMs, from development to deployment, with real-world examples from industry leaders.
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Containerization is a software deployment method that packages an application’s code with all the files and libraries it needs to run on any infrastructure
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Generative AI (Gen AI) is a powerful new technology with the potential to revolutionize many industries, including finance. However, CFOs are grappling with the high cost of implementing Gen AI while still recognizing its potential benefits. The WSJ explores the challenges and opportunities CFOs face as they navigate the world of generative AI.
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Gen AI encompasses a class of machine learning techniques that aim to create data, such as images, text, audio, and more, that is similar to data seen in the training process.