Training
Machine learning Simplified version availableDefinition
The process by which an AI model learns from data — adjusting its internal parameters to improve performance on a task. Training large models requires enormous amounts of data and computing power.
Example in context
Training GPT-4 involved processing hundreds of billions of words of text across months of computation on thousands of specialised chips.
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