👉 The During project, often associated with the context of AI and machine learning, focuses on developing and deploying models that can operate in real-time or near-real-time environments. This involves creating systems that can process data as it arrives, making decisions or generating outputs without significant latency. Key aspects include optimizing models for efficiency, ensuring robustness in dynamic and unpredictable conditions, and integrating these models into applications that require immediate responses, such as autonomous vehicles, real-time translation services, or interactive chatbots. The project emphasizes not only the technical aspects of model performance but also the practical challenges of deployment and maintenance in live, production settings.
