Definition ∞ Private AI training is the process of training artificial intelligence models, particularly large language models, using datasets that are kept confidential and not exposed to public view or external entities. This method prioritizes data privacy and security, ensuring that sensitive information used for training remains protected. Techniques like federated learning or differential privacy are often employed. It allows for model development without compromising data ownership.
Context ∞ News about private AI training is highly relevant in the intersection of AI and blockchain, especially for applications requiring sensitive user data or proprietary information. Projects focusing on decentralized AI or privacy-preserving machine learning leverage these techniques. This area addresses critical concerns about data governance and intellectual property in AI development.
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