Beginner’s Guide: How To…

  Introduction Generative AI is a transformative technology capable of producing text, images, audio, and code in response to user prompts. This capability is powered by Large Language Models (LLMs) like OpenAI's GPT series, which are trained to understand and generate natural language. Interacting with these models via prompts allows users to harness their potential without needing technical expertise. This chapter explores the essentials of prompt engineering, a field dedicated to optimizing prompt design for consistent and high-quality responses. Learning Goals By the end of this lesson, you will be able to: Explain what prompt engineering is and why it matters. Describe the components of a prompt and how they are used. Learn best practices and techniques for prompt engineering. Apply learned techniques to real examples using an OpenAI endpoint. Learning Sandbox Prompt engineering is more art than science, requiring practice and iterative refinement. This lesson includes a Jupyt...

Introduction In the world of technology, Generative AI stands out for its ability to create content, provide answers, and guide users through various processes with minimal manual intervention. However, with great power comes great responsibility. This chapter will delve into the importance of using Generative AI responsibly, outline core principles, and provide actionable steps to ensure your AI applications are fair, non-harmful, and beneficial to all users. Learning Goals By the end of this lesson, you will understand: The critical importance of Responsible AI in the development of Generative AI applications. How to apply core principles of Responsible AI in your projects. Tools and strategies available to implement Responsible AI effectively. Responsible AI Principles Fairness, Inclusiveness, Reliability/Safety, Security & Privacy, Transparency, and Accountability These principles are essential in ensuring that Generative AI applications are developed and deployed in a manner t...

Generative AI is revolutionizing the educational landscape, providing innovative and personalized learning experiences. This article explores the intricacies of Large Language Models (LLMs), comparing various types to help you choose the best fit for your needs. Our startup leverages these models to enhance educational outcomes, and here, we delve into how you can do the same. Introduction In this guide, we will cover: The current landscape of Large Language Models (LLMs) How to test, iterate, and compare different models using Azure Effective deployment of LLMs for practical applications Learning Goals By the end of this article, you will: Be able to select the right LLM for your specific use case Understand the processes for testing, iterating, and improving model performance Gain insights into how businesses deploy models effectively Understanding Different Types of LLMs LLMs can be categorized based on their architecture, training data, and use cases. This understanding is crucial ...

Generative AI, an advanced form of artificial intelligence, is transforming the digital landscape by creating text, images, and other types of content from simple text prompts. This groundbreaking technology democratizes AI, making it accessible to anyone without the need for specialized programming knowledge. With just a sentence in natural language, users can generate valuable suggestions from AI models, simplifying tasks such as writing reports, developing applications, and much more—all within seconds. Our Startup's Mission: Innovating Education with Generative AI In this curriculum, we’ll explore how our educational startup harnesses the potential of generative AI to create new learning opportunities and address the social and technical challenges that come with this powerful technology. Introduction In this lesson, we'll cover: The mission and vision of our educational startup. The evolution of generative AI and its current technological landscape. The inner workings of l...