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Using python's multiprocessing, large amounts of training data can be applied to a ChatterBot instance in parallel as long as the database being used with that chat bot supports concurrent writes.
The goal would to be to create a new training class that will split a large file into multiple files, and then train the chat bot using multiple parallel processes.
The text was updated successfully, but these errors were encountered:
Using python's multiprocessing, large amounts of training data can be applied to a ChatterBot instance in parallel as long as the database being used with that chat bot supports concurrent writes.
The goal would to be to create a new training class that will split a large file into multiple files, and then train the chat bot using multiple parallel processes.
The text was updated successfully, but these errors were encountered: