Triple

Target class: model serving system
Context triple: [TensorFlow Serving, instanceOf, model serving system]

• A. AI inference server chosen
  An AI inference server is a system that hosts trained machine learning models and processes incoming requests to generate predictions or responses in real time.
• B. machine learning model repository
  A machine learning model repository is a centralized system for storing, versioning, organizing, and sharing trained models and their associated metadata throughout their lifecycle.
• C. large-scale model
  A large-scale model is a computational model, often in machine learning or simulation, that operates with vast numbers of parameters or variables to capture complex patterns or behaviors across extensive datasets or systems.
• D. machine learning model format
  A machine learning model format is a standardized representation that defines how a trained model’s structure, parameters, and metadata are stored, exchanged, and loaded across tools and environments.
• E. deep learning model
  A deep learning model is a computational architecture composed of multiple layers of interconnected processing units (neurons) that automatically learn hierarchical representations from data to perform tasks such as classification, prediction, or generation.
• F. None of above.