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Concluding chapter 11 - Unleash Creativity: Exploring Generative AI, LLM-based Apps, and Beyond

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Amit Puri

Advisor and Consultant

Posted on 01-Oct-2023, 03 min(s) read

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Generative AI and Large Language Models (LLMs) have become buzzwords in the tech industry, but their implications and applications, especially for citizen developers and business users, are profound. This chapter aims to demystify these concepts and provide actionable insights for their practical application in business scenarios.

1. Introduction to Generative AI: Generative AI refers to a subset of artificial intelligence that focuses on creating new content. It can generate text, images, music, and more by training on vast datasets. The generated content can often be indistinguishable from that created by humans, making it a powerful tool for various applications, from content creation to problem-solving.

2. Large Language Models (LLMs): LLMs, like OpenAI's GPT series, are a type of Generative AI specifically designed for text generation. They are trained on vast amounts of text data, enabling them to produce coherent and contextually relevant passages. Their capabilities range from answering questions and writing essays to coding and more.

3. Empowerment through Knowledge: For citizen developers or business users, understanding Generative AI and LLMs is not just about grasping the underlying technology. It's about recognizing the potential these tools offer for enhancing business processes, improving customer interactions, and driving innovation. By integrating AI into their digital framework, businesses can automate tasks, generate insights, and offer enhanced user experiences.

4. Third-Party Power Platform Connectors: The Power Platform's versatility is further enhanced by a plethora of third-party connectors available in the marketplace. These connectors allow for the integration of LLMs-based apps, enabling businesses to harness the power of models like OpenAI's GPT-3 directly within their applications.

5. Utilizing OpenAI APIs in Power Apps: One of the practical applications of LLMs in the Power Platform is the integration of OpenAI APIs into Power Apps. Through Power Automate flow, businesses can automate processes that leverage the capabilities of these AI models, from answering customer queries to generating content on the fly.

6. Emerging Trends in Citizen Development: The landscape of citizen development is rapidly evolving, with AI playing a pivotal role. Tools like AI Builder offer no-code AI solutions, while OpenAI provides powerful text generation capabilities. Microsoft's Co-pilot, on the other hand, assists developers by suggesting code snippets in real-time. These tools, among others, are shaping the future of citizen development, making it more accessible, powerful, and AI-driven.

Generative AI, LLMs, and Their Integration into Business Frameworks: A Detailed Exploration

  • A beginner's guide to the fundamentals of Generative AI.
  • Dive into the variety of third-party connectors on the Power Platform for apps based on LLMs and learn the integration of OpenAI APIs within Power Apps using Power Automate flow.
  • Delve into the latest advancements in citizen development related to AI, highlighting tools such as AI Builder, OpenAI, Co-pilot, and more.

The fusion of Generative AI, LLMs, and citizen development tools is ushering in a new era of digital transformation. As businesses strive to stay competitive and innovative, understanding and leveraging these technologies will be paramount. This chapter serves as a guide, ensuring that businesses are well-equipped to harness the full potential of AI in their digital endeavors.

Read about the first chapter 01 - Unleashing the Potential of Citizen Development in Microsoft 365

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