EPSVec: Revolutionizing Synthetic Data Generation for Enhanced Privacy and Efficiency

EPSVec introduces a groundbreaking method for creating high-quality synthetic data, crucial for advancing machine learning while safeguarding sensitive information. This innovative approach utilizes dataset vectors to guide Large Language Model (LLM) generation, resulting in significantly improved efficiency and privacy compared to existing methods. The decoupling of privacy budget from generation allows for unlimited synthetic samples without further privacy costs!