Azure OpenAI Service for Cloud Native Applications (Grayscale Indian Edition)

Azure OpenAI Service for Cloud Native Applications (Grayscale Indian Edition)Please note that all Indian Reprints of O'Reilly publications, including this one, are printed in Grayscale. Unlock the potential of generative AI with "Azure OpenAI Service," a comprehensive guide to building innovative applications and solutions leveraging the power of Azure OpenAI Service. Microsoft AI specialist Adrin Gonzlez Snchez expertly navigates the intricacies of integrating and utilizing Azure OpenAI Service, featuring advanced generative

Please note that all Indian Reprints of O'Reilly publications, including this one, are printed in Grayscale. Unlock the potential of generative AI with "Azure OpenAI Service," a comprehensive guide to building innovative applications and solutions leveraging the power of Azure OpenAI Service. Microsoft AI specialist Adrián González Sánchez expertly navigates the intricacies of integrating and utilizing Azure OpenAI Service, featuring advanced generative AI models like GPT-4 and GPT-4o, within the Microsoft Azure cloud computing platform.This book provides a detailed exploration of using Azure OpenAI Service, covering essential aspects such as setting up Azure resources, designing end-to-end architectures, effectively using APIs, managing costs and usage, ensuring robust data privacy and security, and optimising performance. Readers will discover diverse use cases for Azure OpenAI Service models and gain insights from leading AI and cloud experts. This resource illustrates how to effectively develop **cloud native applications**.This book is tailored for software and cloud developers, product managers, architects, engineers, and cloud-enabled data scientists, offering practical guidance on:Implementing **cloud native applications** with Azure OpenAI Service Deploying, customising, and integrating Azure OpenAI Service with existing applications Customising large language models and integrating proprietary knowledge Developing strategic road maps for generative AI projects Estimating costs and planning generative AI implementations About the AuthorAdrián González Sánchez is a senior cloud, data, and AI specialist at Microsoft, and the industrial AI lead for the Spanish Observatory of Ethical AI (OdiseIA). His prior experience includes senior consultant and product owner roles in AI and data science with CGI Canada and IVADO Labs, and head of AI customer success for Peritus.ai, alongside positions at other data-driven companies in Europe and Latin America.He serves as a trainer for the École des Dirigeants at HEC Montral, the Continuing Education Department at Concordia University, and online training courses for O'Reilly Media and the Linux Foundation. Additionally, he collaborates with 2U/GetSmarter as a tutor and facilitator for MIT Sloan's AI and blockchain executive courses, and Harvard VPAL's fintech course.His expertise spans AI strategy and project management, responsible AI systems implementation, big data and cloud computing, data and AI governance, ethical and regulatory impact of technological innovation, telecommunications, and the Internet of Things. Note that the **grayscale indian edition** contains the same content as other editions, but is printed in grayscale.