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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

Summary

In this chapter, we discovered how to turn text into videos using Azure and OpenAI. First, we made a summary of the text and picked out important phrases with Azure Cognitive Services. Then, we got image ideas and fetched related images with OpenAI’s DALL-E model. Next, we made a speech from the text with the Azure Speech service and combined it with the images to make a video. This method makes it easier to create interesting video content by automatically changing text into visuals and audio.

By using these advanced technologies, we can speed up the process of making videos from text. This not only saves time but also makes the video content more accessible and engaging. With Azure and OpenAI, changing text into captivating videos is simpler and more efficient, offering new opportunities for sharing ideas and stories.

In the next chapter, we will delve into creating a multimodal multi-agent framework with the Azure OpenAI Assistant API. This chapter will guide...

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