After 816 prompts, I finally realized which images can be generated directly and which must be done in sequence.
Summary: The watershed in continuous AI content production isn't how long your prompts are, but knowing when to let the model generate freely and when to require it to inherit prior assets.
Original article published externally
https://mp.weixin.qq.com/s/LQ7C9vRRpQyxHWqcnF2R7Q
正文草稿准备中...
Siounex Zhao
Holds a dual background in Software Engineering from Shanghai Jiao Tong University and a Finance MBA from the China Europe International Business School (CEIBS), with 20 years of experience in digitalization, AI commercialization, and comprehensive group management. Deeply versed in the dual-track path of "cutting-edge technology + commercial monetization," having served as General Manager/CEO across multiple tier-1 state-owned enterprises, listed companies, and startups. Expert in the application-layer engineering deployment of Large Language Model (LLM) API fine-tuning, Retrieval-Augmented Generation (RAG), and AI Agent architectures. Spearheaded the creation of China's first "AI Smart Matching + Super Individual (OPC)" platform as well as a national benchmark "AI + Education" project. Possesses exceptional capabilities in building AI industry ecosystems, integrating government and corporate resources, and facilitating cross-border deal-making, dedicated to transforming Generative AI into a second growth curve for enterprises.