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  2. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [ 3 ] [ 4 ] Its developer, Perplexity AI, Inc., is based in San Francisco, California .

  3. Perplexity - Wikipedia

    en.wikipedia.org/wiki/Perplexity

    The base of the logarithm need not be 2: The perplexity is independent of the base, provided that the entropy and the exponentiation use the same base. In some contexts, this measure is also referred to as the (order-1 true) diversity. Perplexity of a random variable X may be defined as the perplexity of the distribution over its possible ...

  4. College Football Data Warehouse - Wikipedia

    en.wikipedia.org/wiki/College_Football_Data...

    College Football Data Warehouse was an American college football statistics website that was established in 2000. The site compiled the yearly team records, game-by-game results, championships, and statistics of college football teams, conferences, and head coaches at the NCAA Division I FBS and Division I FCS levels, as well as those of some NCAA Division II, NCAA Division III, NAIA, NJCAA ...

  5. Wikipedia : Using neural network language models on Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Using_neural...

    Experienced editors may ask an LLM to improve the grammar, flow, or tone of pre-existing article text. Rather than taking the output and pasting it directly into Wikipedia, you must compare the LLM's suggestions with the original text, and thoroughly review each change for correctness, accuracy, and neutrality. Summarizing a reliable source.

  6. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

  7. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.

  8. The Process that took 40 years to perfect - AOL

    www.aol.com/finance/inside-nick-saban-famous...

    Inside Nick Saban’s famous ‘Process’ that took 40 years to perfect and made him the greatest coach in college football history. Fortune Editors, Brian O'Keefe. January 10, 2024 at 5:37 PM.

  9. College football national championships in NCAA Division I ...

    en.wikipedia.org/wiki/College_football_national...

    Winner was to be awarded a presidential plaque by game attendee Richard Nixon declaring them "the number-one college football team in college football's one-hundredth year." [9] This was the final regular season game, and it determined the Coaches Poll title. Entering the game, Arkansas ranked No. 3 in the Coaches Poll and remained No. 3. [243 ...