Technology，Engineering

《人工金属酶分子设计与应用》龚超等
Generative AI Empowerment Mastery: Programming, Data Science & Professional
Writing

Introduction:
The book systematically addresses generative AI’s fundamental mechanisms, cutting-edge technical obstacles, industry governance protocols, and efficiency enhancement strategies through prompt engineering and AIGC operational frameworks. The content remains platform-agnostic, concentrating on transferable methodologies and conceptual frameworks to help readers sustain competitiveness in the AI era while facilitating both individual capability enhancement and organization-wide digital transformation initiatives. Readers will acquire proven techniques for streamlined human-AI collaboration, develop proficiency in leveraging large language models for Python coding, multidimensional data analytics, and self-directed mathematics/machine learning study, while gaining operational insights through rich, real-world case studies spanning AIGC applications in scientific manuscript composition, financial modeling, and AI agent architecture. Since publication, the book has earned universal acclaim across digital platforms. During the author’s nationwide lecture circuit, numerous readers proactively engaged with him to praise the work’s content structure and methodological orientation.
Key Features of This Book
·Platform-Agnostic Approach: This book is not dependent on any specific LLM platform and is compatible with all major models available in the market（including DeepSeek）.
·Methodology-Focused: We teach fundamental principles and thought processes, empowering you to harness LLM platforms effectively to enhance learning and productivity.
·Comprehensive & Practical: Covering diverse applications—from programming and data analysis to mathematics, machine learning, academic writing, and AI agent development—the book provides hands-on cases for immediate implementation.
About the Author：
Gong Chao, Ph.D. in Engineering, is a core researcher at the Next Generation Internet R&D Center of the Shenzhen Tsinghua University Research Institute. His distinguished appointments include: Council Member, China High-Tech Industrialization Association，Committee Member, Popularization Working Committee of Chinese Association of Automation，Deputy Director, K-12 Education Working Committee of Chinese Association for Artificial Intelligence，Distinguished Expert, China Youth Palace Association.
His research focuses on AI optimization algorithms and AI applications in digital transformation. He has authored 18 AI-related books and published over 70 journal articles internationally.