Chapter 1: What is Generative AI?
★ AI that is changing the way humans work ★

1.1 Definition of Generative AI
____The technological position of generative AI
____rule-based system
____Self-learning machine learning
____The emergence of deep learning
____Evolution to Generative AI
1.2 Classification of generative AI
____Glossary
____Language generative AI
____Image-generating AI
____Audio generation AI
1.3 The Role and Future Prospects of Generative AI
Generative AI as a ____tool
____Attitudes toward generative AI

Chapter 2: The Process of Evolving into Generative AI
From machine learning to large-scale language models

2.1 Machine Learning to Classify Salmon and Sea Bass
____Background of the emergence of machine learning
____The core techniques of machine learning
____The Limitations of Machine Learning
2.2 Deep learning modeled after the human brain structure
____Background of the emergence of deep learning
____Early deep learning model
____How Deep Learning Works
____A representative model of deep learning
____The Challenges of Deep Learning
2.3 Transformers that understand language like humans
____Limitations of Early Deep Learning Models
____Background of Transformers' appearance
____How a transformer works
____Attention mechanism
____Evolution of the Transformer model
____Changes brought about by Transformers
2.4 A large language model that predicts the next word and creates sentences.
Overview of the ____language model
____Word selection method of language model
Why it evolved from the ____language model
____The training process of a large language model

Chapter 3: OpenAI's Large Language Model, GPT
★ GPT with human-like general-purpose abilities ★

3.1 Overview of GPT
3.2 First Steps in Large-Scale Language Models: GPT-1
Language processing through pre-learning and fine-tuning
____GPT-1's significance and limitations
3.3 Full-fledged conversational AI: GPT-2
Language processing with ____pre-learning alone
____GPT-2's significance and limitations
AI Gets Closer to Humanity with a 3.4-Scale Innovation: GPT-3
____Few-shot learning and prompt engineering
____The significance and limitations of GPT-3
3.5 AI that Communicates with Humans: GPT-3.5 and ChatGPT
____User Feedback-Based Reinforcement Learning
ChatGPT: A New Era of Conversational AI
____The significance of GPT-3.5 and ChatGPT
3.6 The Emergence of Multimodal Models: GPT-4
____Simultaneous understanding of text and images
____The significance and limitations of GPT-4
3.7 The Future of Generative AI: GPT-4o and OpenAI o1
____GPT-4o comprehensively processes text, images, and audio
____OpenAI o1 with improved reasoning ability and reliability
____Development into general artificial intelligence
3.8 Evaluation Criteria for Generative AI
____Methods for evaluating the performance of generative AI
Evaluation using ____benchmarks
Evaluation using the ____GAIA benchmark
____An evaluation that reflects human preferences
____Private and open source models

Chapter 4: Limitations of Generative AI and Solutions
★ Understanding language models through hands-on experience ★

4.1 ChatGPT, Gemini, Claude, Clova X, Rama
____ChatGPT
____Gemini
____Claude
____Clova X
____Rama
____Language model disclosure platform, Hugging Face
Try out ____generative AI services
4.2 Limitations of Generative AI
____The problem of lack of understanding of context
____Data bias problem
____hallucinations
____Inconsistency problem
____Ethical Issues
4.3 How to overcome the limitations of generative AI
____Prompt Engineering
____RAG
____Improving the performance of the AI ​​model itself
4.4 Generating Reports, Texts, and Emails with Generative AI
____Report Writing
____Write texts and emails

Chapter 5 Image/Audio Generative AI
★ The evolution of AI that draws pictures and creates music ★

5.1 Dali, Gemini, Midjourney, Stable Diffusion
____Representative image-generating AI service
____The evolution of image-generating AI
____How Image-Generating AI Works
____Use Cases of Image-Generating AI
5.2 Creating Picture Books with Image-Generating AI
____Creating a picture book
5.3 MusicLM, Audiocraft, Stable Audio, Suno, Udio
____Representative audio generation AI service
____The evolution of audio-generating AI
____How Audio Generative AI Works
____Use Cases of Audio Generative AI
5.4 Creating Music with Audio Generative AI
____Making my own music of memories

Chapter 6: Tomorrow with AI
★ Changes and Preparations According to Technological Advancements ★

6.1 Changes in the work environment
____The Changing World of Work
____Rapidly evolving AI technology
6.2 Collaboration Cases by Sector
____Content Creation
____Personalization of Education
____Vibe Coding
Collaboration with ____AI agents
6.3 The Role and Preparation of Humans in the AI ​​Era
____Developing capabilities for the future
____Balanced AI Utilization
____The AI ​​era we create together

"Contents Covered"

- The concept, operating principles, and key terms of generative AI
- Limitations of generative AI and solutions
- Introduction and practice of various AI services (ChatGPT, Gemini, Claude, Dali, Suno, etc.)
- Case studies of collaboration across sectors using AI

Recommended Readers

- Office workers who want to apply AI in their work, from Chat GPT to image and audio AI.
- College students who want to study in advance to avoid falling behind in the AI ​​era.
Parents concerned about their children's AI education direction
- Teachers who want to teach the basics of AI at schools and academies
- Middle-aged and older people who want to keep up with the rapidly changing AI trends without any burden.