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2. Artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence

   When natural language is used to describe mathematical problems, converters can transform such prompts into a formal language such as Lean to define mathematical tasks. Some models have been developed to solve challenging problems and reach good results in benchmark tests, others to serve as educational tools in mathematics.

3. English grammar - Wikipedia

   en.wikipedia.org/wiki/English_grammar

   English grammar is the set of structural rules of the English language. This includes the structure of words, phrases, clauses, sentences, and whole texts. Overview

4. Glossary of artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Glossary_of_artificial...

   Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...

5. Artificial grammar learning - Wikipedia

   en.wikipedia.org/wiki/Artificial_grammar_learning

   The AI programs first adapted to simulate both natural and artificial grammar learning used the following basic structure: Given A set of grammatical sentences from some language. Find A procedure for recognizing and/or generating all grammatical sentences in that language. An early model for AI grammar learning is Wolff's SNPR System.

6. Natural language processing - Wikipedia

   en.wikipedia.org/wiki/Natural_language_processing

   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.

7. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Generative AI models can reflect and amplify any cultural bias present in the underlying data. For example, a language model might assume that doctors and judges are male, and that secretaries or nurses are female, if those biases are common in the training data. [127]

8. AI Testing Mostly Uses English Right Now. That's Risky - AOL

   www.aol.com/ai-testing-mostly-uses-english...

   As AI develops, so too does its massively unreported language issue, writes Hamza Chaudhry.

9. Artificial intelligence in education - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_in...

   Currently, there is much hype from venture capital, big tech and convinced open educationalists. AI in education is a contested terrain. Some educationalists believe that AI will remove the obstacle of "access to expertise". [21] Others claim that education will be revolutionised with machines and their ability to understand natural language. [22]