Securing Microsoft Azure OpenAI
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Автор: Karl Ots
Издательство: Wiley
Год: 2025
Страниц: 384
Язык: английский
Формат: epub (true)
Размер: 11.1 MB
Securely harness the full potential of OpenAI's artificial intelligence tools in Azure.
Securing Microsoft Azure OpenAI is an accessible guide to leveraging the comprehensive AI capabilities of Microsoft Azure while ensuring the utmost data security. This book introduces you to the collaborative powerhouse of Microsoft Azure and OpenAI, providing easy access to cutting-edge language models like GPT-4o, GPT-3.5-Turbo, and DALL-E. Designed for seamless integration, the Azure OpenAI Service revolutionizes applications from dynamic content generation to sophisticated natural language translation, all hosted securely within Microsoft Azure's environment.
Securing Microsoft Azure OpenAI demonstrates responsible AI deployment, with a focus on identifying potential harm and implementing effective mitigation strategies. The book provides guidance on navigating risks and establishing best practices for securely and responsibly building applications using Azure OpenAI. By the end of this book, you'll be equipped with the best practices for securely and responsibly harnessing the power of Azure OpenAI, making intelligent decisions that respect user privacy and maintain data integrity.
Large language models (LLMs) represent a significant advancement in natural language processing. These statistical language models are trained to predict the next word in a partial sentence, using massive amounts of data. By adding multimodal capabilities—the ability to process images as well as text—generative AI models enable many new use cases, previously limited to highly specialized, narrow AI. The key difference is not that these use cases were impossible before but the low barrier of entry and democratization of these tools. You no longer need a team of specially trained engineers or a datacenter full of dedicated hardware to build these solutions.
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