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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

This chapter provided an in-depth exploration of AOAI Service. We began by defining what AOAI Service is and went on to discuss the various model types it offers. We also guided you through the steps to access this service, from creating an AOAI resource to deploying the models and utilizing them for practical applications. Lastly, we shed light on the pricing structure, ensuring you have a clear understanding of how to leverage this powerful AI service within the Azure ecosystem. With this knowledge, you’re well-equipped to harness the capabilities of AOAI Service for your AI and machine learning projects.

Looking ahead to the next chapter, our attention will shift toward delving into advanced topics within AOAI. We’ll explore embedding models and discover how to store these embeddings within a vector database, empowered by the Azure Cognitive Search service. Additionally, we’ll delve into the concept of model grounding and the intricacies of fine-tuning...

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