The Prompt Engineering textbook chosen by Korea's top corporations and public institutions. Your questioning skills are your competitive edge!
All prompts can be downloaded via the QR code included in the book.

Now prompts are the new idiom.
Everyone should write, and everyone should write properly.
This book is for those who use ChatGPT but don't know how to use it properly. While it's easy to ask questions to AI, the results can vary greatly depending on how you ask them, so the right questioning is crucial. While AI can combine various pieces of knowledge to provide insights, it struggles to understand your intentions.
In other words, the ability to effectively convey the intent and context of a question so that the machine can understand it is necessary.
Prompt engineering is a framework for creating conversations and problem-solving methods with AI, and it's an integrated technology that combines various capabilities. In the AI ​​era, the ability to ask questions will become a competitive advantage.
Even with the same AI, the quality and efficiency of the results can vary greatly depending on the user's prompt engineering skills.

This book is the definitive edition, a complete compilation and refinement of the prompt engineering training content the author provided to top corporations and public institutions, including Samsung Electronics, Hyundai Motor Company, SK Telecom, the Ministry of Land, Infrastructure and Transport, and the Defense Computer Information Agency. It provides a solid foundation for prompt writing while also containing practical recipes to unleash the full potential of AI.
From a fundamental understanding of how to become a prompting expert, to the fundamental structure of questions that can turn AI into a smart subordinate, to prompting patterns and frameworks that can be applied immediately in a variety of situations, this book covers everything you need to effectively utilize generative AI! Master prompting with this one book.

A good prompt is not a list of commands.
It is strategic communication to maximize the potential of AI.
A good prompt is a complex organic combination of several elements: a clear goal, context, constraints, and examples.
It is an art form that requires precise selection of ingredients and cooking process, much like a cooking recipe, but also creative intuition, much like jazz improvisation.
Anyone can ask AI questions, but the ability to maximize its potential with sophisticated prompts will be a key factor in determining the competitiveness of individuals and businesses in the future.
This could create a new form of digital divide: the gap between those who simply use AI and those who have mastered it.
Even when using the same AI system, the quality and efficiency of the results can vary greatly depending on prompt engineering capabilities.
It's like the difference between a beginner playing the same piano and a maestro playing it.
The tools are the same, but the results can be completely different depending on how you use them.
--- From the "Introductory Note"

In the term 'prompt engineering', a 'prompt' refers to a question or request that is input into an AI system.
Simply put, it is the starting point for telling AI, “Do this” or “Do this.”
It could be a very simple question or a complex request that includes detailed explanations, examples, and background information.
'Engineering' means a systematic approach to problem solving.
Since AI decides how to respond based on the input prompt, the AI's response can vary greatly depending on how the prompt is structured.
The art of carefully designing and configuring prompts to elicit the desired results from users is called 'prompt engineering'.

--- From "Chapter 1. The Technology of Language to Command and Coordinate AI"

Just as we have specific conversational styles that are appropriate for the situation when we talk to others, there are also specific patterns for conversations with LLMs.
This pattern is an effective secret to communicating with models, just like a chef has a special recipe.
A prompt pattern is a structured question or instruction that elicits a desired response from a model.
That is, it is a method of creating a certain framework or structure for asking the model what to do and how to respond.
(syncopation)
Just as learning a foreign language helps you understand the culture and mindset of the people who use that language, learning prompt patterns is a great way to understand the LLM mindset and, furthermore, to create a high level of synergy when collaborating with models.
--- Chapter 2.
From "Prompt Patterns: A Collection of Recipes for Delicious AI Responses"

When interacting with AI, anyone can easily ask simple questions or give instructions.
But what if you need to design well-designed prompts to solve complex and challenging problems? This is where the importance of prompt engineering becomes apparent.
Especially in creative work or professional fields, the ability to design prompts to work effectively with AI is inevitably important.
As technology advances and AI-powered user interfaces become more intuitive, the burden of prompt writing will decrease and everyday use will become much easier.
However, that ease of use does not apply equally to all situations, and in advanced applications, user capabilities will still be a key variable.
That means even if AI eventually surpasses humans in insight and problem-solving capabilities, prompt engineering capabilities will likely still be needed to get the most out of AI.
However, the method and details may evolve in a different form than they are now.
While current prompt engineering focuses on "what questions to ask AI," in the future, the focus will shift to "how humans and AI will merge to create new value (beyond simple collaboration)."
Therefore, the future of prompt engineering is expected to be 'evolution' rather than 'disappearance'.
Just as we learn language and develop our ability to communicate with others, the ability to communicate with AI will also become a core competency that must be continuously developed.

--- From the "Additional Notes"