Definition
The process of using a trained machine learning model to make predictions or decisions on new, unseen data. It is the stage where the AI model is deployed to perform its intended task, as opposed to the training phase.
Why it matters (in Poovi’s context)
Project Digits is specifically positioned as a machine for AI inference on a desktop, offering significant power for this purpose at a more accessible scale than large data center solutions.
Key properties or components
- Deployment of trained models
- Prediction generation
- Real-time decision making
- Operational AI
Contradictions or debates
None.