AI Workflow Glossary: Your Go-To Guide for Workflow and Automation Terms
Model Optimization
Model optimization is the process of improving the performance of a machine learning model.
Model Pruning
Model pruning is a technique used in machine learning to reduce the complexity of a trained model by removing parameters.
Model Retraining
Model Retraining is the process of updating and refining a machine learning model with new data or after detecting performance degradation.
Model Rollback
Model rollback refers to the process of reverting a machine learning model in production to a previous version.
Model Scaling
Model scaling refers to the process of adapting a machine learning model to handle larger datasets.
Model Staging
Model staging is the process of deploying and testing machine learning models in different environments or stages.
Model Testing
Model testing in machine learning refers to the process of evaluating a trained model's performance on a separate dataset, known as the test set.
Model Training
Model Training is the process of teaching a machine learning model to learn patterns and relationships from a dataset.
NetApp OnCommand Workflow Automation
NetApp OnCommand Workflow Automation (WFA) is a tool designed to automate storage management tasks.
Neural Architecture Search (NAS)
Neural Architecture Search (NAS) is an automated process used to design and optimize neural network architectures.
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