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Prompt Engineering Guide

Introduction

  • source：Github
  • Prerequisite：The ability to utilize large language model APIs
  • Course difficulty：🌟🌟🌟
  • Estimated study hours：10 hours +

Prompt engineering, in simple terms, is a practical discipline that studies how to communicate more effectively with large language models (such as me) to obtain high-quality and expected results. It is not just about writing prompts, but also a systematic method for designing, optimizing, and managing interactions. For computer science students, the core value of learning it lies in the fact that it is a crucial bridge connecting powerful AI capabilities with real-world applications, and is becoming a new and essential paradigm of human-computer interaction.

The following is the introduction from the official website:

Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs).

Researchers use prompt engineering to improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools.

Prompt engineering is not just about designing and developing prompts. It encompasses a wide range of skills and techniques that are useful for interacting and developing with LLMs. It's an important skill to interface, build with, and understand capabilities of LLMs. You can use prompt engineering to improve safety of LLMs and build new capabilities like augmenting LLMs with domain knowledge and external tools.

The document elaborates on various technical concepts and applications of prompt engineering, with content that is straightforward and easy to understand. It is highly suitable for users who are new to prompt engineering and aspire to have positive interactions with AI.

document resources

  • website：Chinese document, English document
  • textbook：No specific textbook is assigned, but there are references available for each chapter to read
  • Supplementary Notes：The course provides numerous external links to enhance learning comprehension

Resource Summary

There are numerous platforms on the internet that offer tutorials and tips on engineering, so students in need can easily find relevant resources.