Practical Applications

1. Generating specialized formats: Synthetic data can create training data in formats not easily obtained through scraping or licensing.

   • Example: Meta used Llama 3 to generate initial captions for video footage, later refined by humans.

2. Supplementing real-world data: Companies like Amazon generate synthetic data to enhance real-world datasets for specific applications (e.g., Alexa speech recognition).