From ChatGPT to generative world model for autonomous driving (AD), data for AI model training must be high performance, flexible and scalable. Data helps AI models identify and extract meaningful features from input data. Quality and depth of training data significantly affect the success of AI models. Training data provides examples and relevant information for AI models to learn from. The audience will learn about AI-powered computing for AV development; data-driven development; and how to accelerate AV development.

• Data for AI model training must be high performance, flexible and scalable
• Quality and depth of training data significantly affect the success of AI models
• Data helps AI models identify and extract meaningful features from input data