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Unlocking Creativity with Azure OpenAI

Unlocking Creativity with Azure OpenAI

By : AMIT MUKHERJEE, Adithya Saladi
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Unlocking Creativity with Azure OpenAI

Unlocking Creativity with Azure OpenAI

By: AMIT MUKHERJEE, Adithya Saladi

Overview of this book

Azure 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.
Table of Contents (19 chapters)
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1
Part 1: Foundations of Generative AI and Azure OpenAI
5
Part 2: Practical Applications of Azure OpenAI: Real-World Use Cases
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13
Part 3: Mastering Governance, Operations, and AI Optimization with Azure OpenAI

Part 2: Practical Applications of Azure OpenAI: Real-World Use Cases

In Part 2, we transition from foundational concepts to hands-on implementations, exploring practical use cases that demonstrate the transformative potential of Azure OpenAI in solving real-world challenges. Each chapter presents a distinct application, offering detailed insights into the problem context, technical architecture, and step-by-step solution development. From creating enterprise-level document question-answering systems to building multimodal, multi-agent frameworks, this section equips readers with the knowledge and tools to harness Azure OpenAI for diverse and impactful applications.

This part has the following chapters:

  • Chapter 4, Developing an Enterprise Document Question-Answer Solution
  • Chapter 5, Building a Contact Center Analytics Solution
  • Chapter 6, Querying From a Structured Database
  • Chapter 7, Code Generation and Documentation
  • Chapter 8, Creating a Basic Recommender...
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