👉 In a cutting-edge lab, Dr. Li rushed. She needed to integrate Vision Enhancement Tech into the AI's neural network. First, she accessed the system's mainframe, typing commands swiftly. Next, she imported pre-trained models, ensuring compatibility. Then, she ran a diagnostic to check for errors. After that, she merged the models into the network, optimizing parameters for speed. Finally, she executed a final test, watching the AI's performance surge. The lab buzzed with success as the task was completed in under 10 minutes.
