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Yapay Zeka

Science and engineering field that allows machinery to perform tasks that require human-specific intelligence.

Artificial intelligence (YZ) is a disciplined science and engineering field that aims to bring traditionally human-specific cognitive capabilities to machines such as learning, reasoning, problem solving, detection and language understanding. The area born in the intersection of computer science, statistics, neuroscience and philosophy has become an academic discipline with the question of Alan Turing in the 1950s, and then Dartmouth Conference. The range of methods is very wide: from the early-term symbolic and rule-based specialist systems, the machine learning from data to the deep learning based on multi-layer nerve networks, and in recent years, billions of parameters extend to large language models.

Artificial intelligence is no longer a matter of laboratory, an integral part of everyday life: sorting in search engines, spam filtering in emails, facial recognition on smartphones, recommendation systems, chat boots and autonomous vehicles are all included under this umbrella. The field is often divided into two as "dar artificial intelligence" (the systems that are specialized in a specific task, e.g., play or display classification) and "genel artificial intelligence" (insan level multi-directional reasoning). Almost all commercial systems used today are in the category of narrow artificial intelligence, but the generalization ability of large language models is increasingly blurred.