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Update dosc
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PawelPeczek-Roboflow committed Feb 14, 2024
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predicting from each model, `inference` HTTP API tries to get Active Learning config from the project that model
belongs to and register datapoint. To prevent that from happening - model steps can be provided with
`disable_active_learning=True` parameter. Then the only place where AL registration happens is `ActiveLearningDataCollector`.
* **important :exclamation:** be careful with names of sampling strategies if you define Active Learning configuration -
you should keep them unique not only within a single config, but globally in project - otherwise limits accounting may
not work well

## Different modes of execution
Workflows can be executed in `local` environment, or `remote` environment can be used. `local` means that model steps
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