Embark on an empowering journey with Azure OpenAI's large language models for Generative AI business applications. Discover Azure Cognitive Services synergy, security & privacy measures, fine-tuning techniques, and prompt engineering in this immersive quest. Key Features Explore the capabilities of Azure OpenAI’s LLMs. Craft complete applications from start to finish by harnessing the synergy of Azure OpenAI and Cognitive Services. Learn how to design enterprise grade Gen AI solutions with effective prompt engineering, fine-tuning and harness the power of AI safety. Book DescriptionAzure OpenAI, a cutting-edge service by Microsoft, harnesses the power of OpenAI's Large Language Model (LLM) to drive cloud-based innovations within enterprises. This service integrates advanced LLM models into business functions, transforming Microsoft products like GitHub Copilot, Microsoft 365 Copilot, and Bing Chat, making them more advanced and interactive. Azure OpenAI is accessible via REST APIs, Python SDK, or Azure OpenAI Studio, opening doors to build innovative AI applications. This book is a comprehensive guide to build GenAI applications using Azure OpenAI. It begins with the fundamentals, including how to access Azure OpenAI and how to effectively utilize its REST API and Python SDK. It takes a deep dive into various AI models and emphasizes the crucial aspects of prompt engineering and fine-tuning for optimal output. It further underlines the significance of content filters and prevention of misuse, maintaining a strong focus on safety and security protocols and finally the significance of Azure OpenAI Studio in deployment and administration is emphasized. Practical applications are showcased like content generations, summarization, semantic search, code documentation and code generation. Combining Azure Cognitive services amplifies Generative AI potential and finally aligns with Microsoft's ethical AI principles.What you will learn Understand the concept of large language models and their capabilities Interact with different models in Azure OpenAI using APIs or web interface Use content filters and mitigations to prevent harmful content generation Develop various solutions using Azure OpenAI for content generation, summarization, semantic search, NLU, code generation and documentation, image generation and analysis Integrate Azure OpenAI with other Azure Cognitive services for enhanced functionality Apply best practices for data privacy, security, and prompt engineering with Azure OpenAI Who this book is forThis book is entitled for software developers, data scientists, AI engineers, ML engineer, System Architect and business professionals who want to learn how to use Azure OpenAI to create innovative solutions with generative AI. To fully benefit from this book, it is essential to have both an Azure subscription and access to Azure OpenAI access with python knowledge.