Inference Engines
AI Infrastructure
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 is the process where a trained AI model applies its learned patterns to new, unseen data to generate predictions or outputs. It involves deploying the model in real-world scenarios, enabling tasks like image recognition, language translation, or decision-making. Efficient inference ensures accurate, timely results and is crucial for the practical deployment of machine learning models.
Use Cases
- •Deploying a trained model to predict customer preferences in real-time shopping applications.
Related Terms
Other terms in the AI Infrastructure category