Training data in AI refers to the set of examples or information that is used to train a machine learning model. This data serves as the foundation for the model to learn patterns, relationships, and features that enable it to make predictions, classifications, or decisions on new, unseen data. The quality and quantity of training data greatly influence the performance and generalization ability of the AI model.
Successful artificial intelligence and machine learning models must include several variations of transcriptions that cover a wide range of different responses that include slang, accents, different pronunciations, regional terms, etc that are then annotated for your machine to identify as similar responses.
With access to a large global workforce we are able to recruit, train, and manage teams of any size to transcribe your audio into a structured format, specific to your machine learning requirements.