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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
13
Part 3: Mastering Governance, Operations, and AI Optimization with Azure OpenAI

Building the code generator and documenter solution

Since we have set up all the essential services in our Azure portal in our previous chapters, we can begin constructing our solution for code generation and documentation.

Solution using Azure OpenAI

To build this solution, we mainly need to use two services:

  • Azure Cognitive Search
  • Azure OpenAI Service

We explained the process to create these services in Chapter 2, in the Accessing Azure OpenAI (AOAI) Service section, and Chapter 4, in the Developing a question answering solution using Azure OpenAI and Azure Cognitive Search index section. Please refer to these chapters for more information.

We can begin constructing our solution. To develop the code, we will be working within a Jupyter notebook.

In the following sections, we are going to develop our solution:

  • Importing packages
  • Creating code from a user prompt

Importing packages

We need to import the required packages before we...

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