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2. Winograd schema challenge - Wikipedia

   en.wikipedia.org/wiki/Winograd_schema_challenge

   The Winograd schema challenge (WSC) is a test of machine intelligence proposed in 2012 by Hector Levesque, a computer scientist at the University of Toronto.Designed to be an improvement on the Turing test, it is a multiple-choice test that employs questions of a very specific structure: they are instances of what are called Winograd schemas, named after Terry Winograd, professor of computer ...

3. Generative artificial intelligence - Wikipedia

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

   A generative AI system is constructed by applying unsupervised machine learning (invoking for instance neural network architectures such as GANs, VAE, Transformer, ...) or self-supervised machine learning to a data set. The capabilities of a generative AI system depend on the modality or type of the data set used.

4. Ginger Software - Wikipedia

   en.wikipedia.org/wiki/Ginger_Software

   The algorithm underlying the software studied a vast pool of proper sentences in English and builds a model of proper language. The software does not analyze the text at the level of the word, but of the whole sentence. Dyslectics can have trouble choosing the right word – hence the attention to the sentence as a whole. [10]

5. Phraseme - Wikipedia

   en.wikipedia.org/wiki/Phraseme

   Phraseme. A phraseme, also called a set phrase, fixed expression, idiomatic phrase, multiword expression (in computational linguistics), or idiom, [1][2][3][citation needed] is a multi-word or multi-morphemic utterance whose components include at least one that is selectionally constrained [clarification needed] or restricted by linguistic ...

6. Natural language understanding - Wikipedia

   en.wikipedia.org/wiki/Natural_language_understanding

   Natural language understanding. Natural language understanding (NLU) or natural language interpretation (NLI) [1] is a subset of natural language processing in artificial intelligence that deals with machine reading comprehension. NLU has been considered an AI-hard problem. [2]

7. Google working to fix Gemini AI as CEO calls some ... - AOL

   www.aol.com/news/google-working-fix-gemini-ai...

   (Reuters) - Google is working to fix its Gemini AI tool, CEO Sundar Pichai told employees in a note on Tuesday, saying some of the text and image responses generated by the model were "biased" and ...