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Artificial intelligence composes personal educational tracks and controls the quality of products in production. And this, of course, is not all. History of artificial intelligence What is AI in simple terms In the field of computer science, artificial intelligence (AI) refers to the ability of machines to perform tasks that typically require human intelligence, such as speech recognition, problem solving, and decision making. AI can learn from existing data. This is called "machine learning.
  
By analyzing large amounts of data, the artificial intelligence seo expate bd algorithm rec Thus, the sensational ChatGPT creates texts by analyzing the entire set of texts on a given topic on the Internet. Based on previous words, the neural network “predicts” which letter in the new text should be next, according to probability theory. Artificial intelligence machine learning now comes in three types: Supervised learning - an algorithm learns to recognize patterns in data and can then make predictions or make decisions based on new, not yet used information.



Unsupervised learning - without any prior knowledge or labels. Reinforcement learning is when a reward comes for a correctly executed command. Such artificial intelligence algorithms are used to play games or control robots, including robot roles. When did neural networks appear? The history of the emergence of neural networks goes back several decades. It all started with research in biology and neurophysiology.