AI training is the process of teaching an artificial intelligence model to perform tasks by feeding it data and adjusting its internal parameters. The model learns patterns from input data through algorithms, making predictions or decisions based on this training. The process includes data collection, model selection, and running iterative optimizations like backpropagation to minimize errors. The model is tested on unseen data to evaluate its accuracy and effectiveness. Training enables the AI to generalize and solve real-world problems, and it may be fine-tuned continuously as new data becomes available.
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