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Mad Gab is a board game involving words. At least two teams of 2–12 players have two minutes to sound out three puzzles. The puzzles are known as mondegreens and contain small words that, when put together, make a word or phrase. For example, "These If Hill Wore" when pronounced quickly sounds like "The Civil War".
Search both internal files and web content [10] Asks the user clarifying questions to refine queries; Enables users to upload and analyze local files, including images; Has access to GPT-4, Claude 3.5, Grok-2, Llama 3 and in-house Perplexity LLMs [11] [4] [2] Able to generate images using AI via Playground v3, DALL-E, Stable Diffusion and FLUX 1
Synthetic media (also known as AI-generated media, [1] [2] media produced by generative AI, [3] personalized media, personalized content, [4] and colloquially as deepfakes [5]) is a catch-all term for the artificial production, manipulation, and modification of data and media by automated means, especially through the use of artificial intelligence algorithms, such as for the purpose of ...
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Google Real-Time Search was a feature of Google Search in which search results also sometimes included real-time information from sources such as Twitter, Facebook, blogs, and news websites. [181] The feature was introduced on December 7, 2009, [ 182 ] and went offline on July 2, 2011, after the deal with Twitter expired. [ 183 ]
The program can search for a word or a phrase, including misspellings or gibberish. [5] The n-grams are matched with the text within the selected corpus, and if found in 40 or more books, are then displayed as a graph. [6] The Google Books Ngram Viewer supports searches for parts of speech and wildcards. [6] It is routinely used in research. [7 ...
[33] [34] Generative AI planning systems used symbolic AI methods such as state space search and constraint satisfaction and were a "relatively mature" technology by the early 1990s. They were used to generate crisis action plans for military use, [35] process plans for manufacturing [33] and decision plans such as in prototype autonomous ...
Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence. Word2vec was developed by Tomáš Mikolov and colleagues at Google and published in 2013. Word2vec represents a word as a high-dimension vector of numbers which capture relationships between words.
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