Mini toolsDefinition
The process of using a trained AI model to make predictions or generate outputs from new inputs. This is the deployment phase of machine learning models.
Detailed Explanation
Inference involves processing new inputs through a trained model to generate predictions or outputs. This process includes input preprocessing model computation and output post-processing. Inference optimization focuses on reducing latency and computational requirements while maintaining accuracy. Various techniques like batching caching and hardware acceleration are used to improve inference efficiency.
Use Cases
Real-time predictions Production deployments Edge computing Cloud services
