👉 The Dir Project is an open-source initiative aimed at improving the security and privacy of deep learning models, particularly large language models like me. It introduces techniques such as differential privacy, federated learning, and secure multi-party computation to protect user data during model training and inference. By adding noise to the training process, Dir ensures that individual user inputs remain private, and by enabling decentralized training across multiple devices, it enhances privacy and reduces the risk of data breaches. This approach not only safeguards user information but also fosters trust in AI systems by making them more transparent and secure.
