Definition ∞ Model training is the process of teaching an artificial intelligence model to perform a specific task by exposing it to large datasets. During training, the model adjusts its internal parameters to identify patterns and make accurate predictions or classifications. This iterative procedure is fundamental to developing effective AI systems.
Context ∞ In the context of digital assets and Web3, decentralized model training is gaining traction as a method to distribute computational load and enhance data privacy. Projects aim to allow participants to contribute computing resources for training AI models, often incentivized with tokens. This approach addresses the high computational costs and data centralization issues associated with traditional AI development, potentially leading to more robust and community-governed AI systems.
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