The article showcases a series of AI‑generated ultra‑realistic commercial visuals, breaks down the exact prompt language behind each, and explains the design insights that turn imaginative concepts into high‑impact advertising imagery for products like Nano Banana Pro.
The paper describes Baidu’s AI‑native advertising platform that employs a multi‑agent architecture built on large‑language models—combining large‑small model collaboration, domain SOP‑driven coordination, and long‑term memory—to enable natural‑language understanding, proactive planning, execution and human‑like responses, illustrated by GBI analytics and JarvisBot operations, delivering higher consumption, accuracy, speed and efficiency.
Baidu’s Commercial Advertising Platform employs a multi‑agent architecture that combines large‑ and small‑model collaboration, SOP‑driven task decomposition, and long‑term memory to transform natural‑language queries into precise, personalized advertising actions, achieving up to 98.5% parsing accuracy and cutting analysis time from over 30 minutes to under one minute.
