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Let's Efficiently Manipulate AI! ChatGPT Prompt Engineering Part. 2

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

1 learners are taking this course

  • usefulit
chatgpt
프롬프트엔지니어링
ai활용
업무자동화
업무생산성
ChatGPT
prompt engineering
Generative AI

What you will learn!

  • You can understand why AI gives such answers and its 'thought process'.

  • You can learn how AI understands human language (embeddings, tokens) and apply it to prompting.

  • Learn practical techniques to control and prevent 'Hallucination'.

  • Utilize AI to generate better prompts and systematically manage them through 'prompt evaluation'.

Let's Efficiently Control AI! ChatGPT Prompt Engineering Part. 2

Understand the inner workings of AI and transcend its limitations!
From LLM principles to practical applications, a professional prompt engineering course

If you've learned the basic technologies of AI (Part 1), now it's time to understand the 'inside' of AI.
To truly master AI, you need to go beyond simply using it and understand 'why it works the way it does'.

In this course, you'll learn how to properly utilize AI's characteristics based on the technical principles of LLMs. You'll understand AI's limitations and acquire practical skills to 'manipulate' it more intelligently within those constraints. Additionally, we'll cover how to prevent malfunctions like personal information leaks or hallucinations, and how to handle AI more safely and accurately.

This course will be the stage where you 'complete' prompt engineering and truly get AI in your hands!

🎯 Learning Objectives

  • You can understand the background of LLM's emergence (ML/DL) and basic operating principles.

  • Understand the concepts of embedding and vector space and apply them to prompting strategies.

  • Understand the concept of tokens and practice AI-powered prompt generation.

  • You can identify the causes of LLM 'Hallucination' phenomena and write prompts to prevent them.

  • You will learn the know-how to systematically manage and 'evaluate' written prompts.



⚙️ Tools Covered

  • ChatGPT



📂 Curriculum

Section 1. Advanced Prompt Engineering - Principles and Techniques of LLM

Learn the core technological principles of LLMs, from ML/DL to embeddings, and how AI understands human language.

  • 10. Principles of LLM (Background of ML/DL and the Birth of LLM)

  • 11. LLM Features (Natural Language Processing, Text Generation, Text Analysis)

  • 12. LLM Technology (Embedding and Vector Space)


Section 2. Advanced Prompt Engineering - Practice and Prospects

Practical prompting techniques based on LLM principles such as tokens and hallucination prevention, along with career roadmaps for professionals.

  • 13. Practical Prompting (1) - Understanding Tokens

  • 14. Practical Prompting (2) - Utilizing Model Information, AI-Generated Prompts, Preventing Hallucination

  • 15. Practical Prompting (3) - Prompt Management and Evaluation

  • 16. Conclusion - Future Study Directions and Career Prospects



✅ Confirmation Items

  • This course does not provide instructor Q&A.

  • Lecture materials and lesson plans can be downloaded from [Class Materials] in the first lesson of each section.

Recommended for
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Who is this course right for?

  • Those who want to 'master' prompt engineering

  • Those who want to understand how AI works and learn more fundamental control methods

  • AI-powered service planner, developer, and content creation specialist

  • Those who want to develop their career as a prompt engineer or AI expert

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9 lectures ∙ (3hr 1min)

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