EgoAlpha❤️🔥 Introduction
The development of large language models has undergone a remarkable journey of transformation and evolution. In intial stage, ChatGPT started as a simple language model primarily focused on research in natural language processing and text generation. However, with the relentless advancement of technology, it has evolved into a comprehensive artificial intelligence solution. ChatGPT goes beyond being just a chatbot; it brings forth significant improvements in productivity and truly revolutionizes the way we interact with AI. It stands poised to become the cornerstone of the next generation of artificial intelligence, propelling us towards Artificial General Intelligence (AGI). As the human-machine collaboration becomes an inevitable trend in the future, mastering the effective utilization of large language models will be an essential skill for human.
🔥 This tutorial takes a step-by-step approach to learning prompt engineering, starting with practical applications of ChatGPT where we directly write prompts or utilize language chaining to invoke ChatGPT's API. It aims to solve the problems we encounter in our daily lives, studies, and work. Furthermore, it delves into advanced prompt design, equipping us with various techniques to enhance the accuracy of answering questions and reasoning. Finally, for those interested in exploring large-scale model research, the theory chapter introduces the fundamental principles of language models.
📄 Chapter 1 👨🏻🎓
Practical Chapter Intended audience: Novice users, anyone interested This chapter provides examples of how to effectively employ ChatGPT prompts in our daily lives and work, enabling ChatGPT to assist us in studying, working, and enriching our overall experience.
📄 Chapter 2 👨🏽🎓
Methodology Chapter Intended audience: Advanced users This chapter explores the methods and techniques for designing superior prompts based on the latest research papers. It empowers us to unlock the full potential of large language models.
📄 Chapter 3 🧑🏻🎓
Theory Chapter Intended audience: Researchers This chapter delves into the underlying principles of large language models and related natural language processing technologies. Let us embark on this magical learning journey of prompt engineering and become super learners, empowered by the capabilities of large language models.