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  2. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

  3. Wikipedia:Article wizard - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Article_wizard

    Before creating a draft article, you can practice by first editing in Wikipedia's community sandbox your personal sandbox.It's a great way to try out editing without affecting live articles.

  4. AI Dungeon - Wikipedia

    en.wikipedia.org/wiki/AI_Dungeon

    AI Dungeon is a text adventure game that uses artificial intelligence to generate random storylines in response to player-submitted stimuli. [1] [2] [3] [4]In the game, players are prompted to choose a setting for their adventure (e.g. fantasy, mystery, apocalyptic, cyberpunk, zombies), [5] [6] followed by other options relevant to the setting (such as character class for fantasy settings).

  5. Wikipedia:Source your plot summaries - Wikipedia

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

    Wikipedia articles concerning fiction frequently feature overly long or excessively detailed plot summaries. While any plot section can be trimmed, it can be hard to know what to cut if one hasn't consumed the relevant media, while those who have might be tempted to explain any intricacy that arises to give the reader the full experience of the show.

  6. diagrams.net - Wikipedia

    en.wikipedia.org/wiki/Diagrams.net

    diagrams.net (previously draw.io [2] [3]) is a cross-platform graph drawing software application developed in HTML5 and JavaScript. [4] Its interface can be used to create diagrams such as flowcharts , wireframes , UML diagrams, organizational charts , and network diagrams .

  7. GitHub Copilot - Wikipedia

    en.wikipedia.org/wiki/GitHub_Copilot

    GitHub Copilot was initially powered by the OpenAI Codex, [13] which is a modified, production version of the Generative Pre-trained Transformer 3 (GPT-3), a language model using deep-learning to produce human-like text. [14]

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