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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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Free Chapter
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

AOAI model types

AOAI Service offers various models that can do different things and have different costs. Let’s dive into the different model types and their usability:

  • GPT base: GPT base models can comprehend and produce both natural language and code but lack specific training in following instructions. They’re designed to serve as alternatives to original GPT-3 base models and rely on the legacy Completions API. For most users, we recommend utilizing GPT-3.5 or GPT-4 for their tasks. These models come in two different variations:
    • Babbage-002: Serves as a replacement for the GPT-3 ada and babbage base models. It can support up to 16,384 tokens and can be fine-tuned.
    • Davinci-002: Serves as a replacement for the GPT-3 curie and davinci base models. It can support up to 16,384 tokens and can be fine-tuned.
  • GPT-4: This is the latest model and is used for solving complex problems. It’s even more accurate than any of OpenAI’s earlier models. GPT4...
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