What is artificial intelligence (AI), and how does it work?
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Artificial intelligence (AI) refers to computer systems designed to perform tasks that typically require human intelligence—things like recognizing patterns, understanding language, making decisions, and solving problems. Rather than being explicitly programmed with rules for every situation, modern AI systems learn from data to identify patterns and make predictions or decisions based on what they’ve learned.
Most AI today relies on a technique called machine learning, particularly a subset called deep learning. In deep learning, systems use artificial neural networks—layered structures loosely inspired by the human brain—to process information. These networks are “trained” by feeding them massive amounts of data (text, images, audio, etc.) along with feedback on whether their outputs are correct. Over many iterations, the network adjusts internal parameters (weights) to minimize errors, gradually improving its ability to recognize patterns or generate appropriate responses.
For example, a language model like ChatGPT is trained on vast amounts of text to predict what word should come next in a sequence, which allows it to generate coherent, contextually relevant responses. An image recognition system learns to identify objects by analyzing thousands of labeled photos until it can distinguish, say, a cat from a dog based on subtle visual patterns.
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