Model Stealing
AI Infrastructure
The system and infrastructure responsible for delivering AI model predictions in response to real-time requests.
Detailed Explanation
Model serving refers to the deployment infrastructure that hosts trained AI models to provide predictions or inferences in real-time. It involves managing model availability, scalability, and latency to ensure efficient, reliable delivery of outputs for live applications, such as chatbots, recommendation systems, or autonomous vehicles. This component is critical for operational AI systems, enabling seamless integration into production environments.
Use Cases
- •Deploy a chatbot that delivers instant responses to user queries via a scalable model serving infrastructure.
Related Terms
Other terms in the AI Infrastructure category