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Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.
AI can't detect disease, he said, but it can quickly digest data and point out potential problem areas for a real doctor to investigate. As with other arenas, however, it poses a risk of ...
Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
Explainable AI (XAI), or Interpretable AI, or Explainable Machine Learning (XML), is artificial intelligence (AI) in which humans can understand the decisions or predictions made by the AI. [125] It contrasts with the "black box" concept in machine learning where even its designers cannot explain why an AI arrived at a specific decision. [ 126 ]
Telugu script is an abugida comprising 60 symbols – 16 vowels, 3 vowel modifiers, and 41 consonants. Telugu has a complete set of letters that follow a system to express sounds. The script is derived from the Brahmi script like those of many other Indian languages.
AI capabilities have surged over the past few years, fast enough that regulators, companies and consumers are still figuring out how to use the technology responsibly. Concerns also continue to ...