How to use LLMs in synthesizing training data

Large language models (LLMs) can be used to synthesize training data by generating realistic and diverse text samples. This can be beneficial for a variety of tasks, such as augmenting existing datasets, creating synthetic data for privacy-sensitive applications, and testing different scenarios.<br><br>

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