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Understanding AI and Neural Networks
The current concept of AI primarily involves neural networks, which simulate a basic model of brain functionality. Neural networks are trained by providing them with examples to learn from and then predicting outcomes based on these examples. For instance, in large language models like GPT, the system is fed with billions of pages of text from the web to predict the next word in a sequence based on the observed patterns in the provided examples.