Definitions
- Dataset: Is a repository indicated to track versions of large binary files, such as images or models.
- Project: Is a repository indicated track and reproduce experiments. It is tightly integrated with datasets.
- Component: Is a reusable piece that must be easy to locate and integrate within an existing project.
- Model: Is a product of a project after doing an AI experiment.
- Template: Is a piece of code that can be reused among projects.
- Service: Is a program that can be executed in an execution endpoint. It can be long running or one shot.
- Workflow: Is a series of steps common to AI problems.