Q » How does an AI model learn from its mistakes?
26 Oct, 2025
A » An AI model learns from its mistakes through a process called backpropagation, which involves adjusting its internal parameters based on the error between its predicted output and the actual outcome. This iterative process, guided by optimization algorithms like gradient descent, allows the model to refine its predictions over time, thereby improving accuracy and performance in future tasks.
26 Oct, 2025
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