Ⅰ.
outline
Chapter 1 Background and Purpose of Promotion
1.
Background
2.
purpose
Chapter 2: Composition of Quality Management Guidelines
1.
Volume 3: Generative AI Data Quality Management Guide
Chapter 3: Understanding Generative AI Data
1.
What is generative AI?
2.
Generative AI Data Characteristics
3.
Generative AI Data Lifecycle
Chapter 4: Understanding Generative AI Data Quality Management
1.
Generative AI Data Quality Management Principles
2.
Generative AI data building process
3.
Generative AI Data Quality Management Scope
4.
Generative AI data quality inspection activities

Ⅱ.
Generative AI Data Quality Management System
Chapter 1 Quality Management Framework
1.
Establishing a quality management framework
Chapter 2 Quality Management Process and Outputs
1.
Preparation/Planning Stage (100)
2.
Construction phase (200)
3.
Operation and utilization stage (300)
4.
Step-by-step deliverables

Ⅲ.
Key technologies for generative AI
Chapter 1 Image Captioning Technology
1.
Image Captioning Overview
2.
Image captioning method
3.
Image captioning model
4.
Image caption quality
Chapter 2: Key Generative AI Models and Technologies
1.
Text field technology
2.
Image field technology
3.
Multimodal field technology
4.
Domain-specific technologies

Ⅳ.
supplement
Appendix 1.
Quality Management Indicator Standards
1.
Quality control indicators
2.
Construction process adequacy quality management indicators
3.
Data suitability quality control indicators
4.
Processing data accuracy quality control indicators
5.
Learning model suitability quality control indicators
Appendix 2.
Quality Indicator Setting Guide
1.
Guide to Setting Diversity Quality Indicators
2.
Guide to Setting Syntactic Accuracy Quality Indicators
3.
Guide to Setting Semantic Accuracy Quality Indicators
4. Guide to Setting LLM Quality Indicators
5. LMM Quality Indicator Setting Guide
6.
Guide to Setting Synthetic Data Quality Indicators
7.
Validity Quality Indicator Setting Guide