Get the details, examples, and best practices you need to build cloud native applications, services, and solutions using the power of the Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrian Gonzalez Sanchez examines the integration and utilization of Azure OpenAI—using powerful generative AI models such as GPT-3.5 Turbo and GPT4—within the Microsoft Azure cloud computing platform.
To guide you through the technical details of using Azure OpenAI, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI's language model can be applied, such as natural language processing, chatbots, content generation, translation, sentiment analysis, and more.
Ideal for software and cloud developers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you:
- Learn how to implement cloud native applications with the Azure OpenAI Service
- Deploy, customize, and integrate Azure OpenAI with your applications
- Customize large language models and orchestrate knowledge with company-owned data
- Use advanced road maps to plan your generative AI project
- Estimate cost and plan generative AI implementations for adopter companies
Adrian Gonzalez Sanchez is a Senior Cloud, Data and AI Specialist at Microsoft, as well as the Industrial AI Lead for the Spanish Observatory of Ethical AI (OdiseIA). He has previously worked as a Senior Consultant and Product Owner in AI and data science with CGI Canada and IVADO Labs, Head of AI Customer success for Peritus.ai, and other data-driven companies in Europe and Latin America.
He is a trainer for the ecole des Dirigeants at HEC Montreal, the Continuing Education Department at Concordia University, and online training courses for O'Reilly Media and the Linux Foundation. He also 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 areas of expertise are 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.
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