This article details how a large‑model AI combined with a vector‑based knowledge base can automatically generate, update, and validate exam questions for airline maintenance training, addressing the challenges of massive documentation, frequent updates, and manual question creation.
The article describes how JD Aviation’s maintenance department uses a vector‑based knowledge base and large‑language‑model services to automatically generate, evaluate, and maintain training exam questions, addressing the rapid growth of manuals, frequent updates, and the heavy manual workload of traditional test creation.
This article describes the challenges and solutions encountered while developing an AI-driven medical dialogue assistant, covering data acquisition, preprocessing, model selection such as DCNN and Bi‑LSTM‑CRF, question generation, and system architecture, with insights applicable to similar healthcare chatbot projects.
