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  2. Artificial intelligence in Wikimedia projects - Wikipedia

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

    Subsets of the Wikipedia corpus are considered the largest well-curated data sets available for AI training. [ 19 ] [ 20 ] A 2012 paper reported that more than 1,000 academic articles, including those using artificial intelligence, examine Wikipedia, reuse information from Wikipedia, use technical extensions linked to Wikipedia, or research ...

  3. Wikipedia : Using neural network language models on Wikipedia

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

    AI copyediting of Wikipedia text as of 2022 can slightly reduce the work copyeditors need to do. However, human supervision is critical when using such tools. This task heavily relies on prompt engineering in order for the AI to give satisfactory results. For me, I settled with the prompt "Can you copyedit this paragraph from Wikipedia while ...

  4. Wikipedia : WikiProject AI Cleanup

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

    To identify AI-generated images and ensure appropriate usage. To help and keep track of AI-using editors who may not realize the deficiencies of AI as a writing tool. The purpose of this project is not to restrict or ban the use of AI in articles, but to verify that its output is acceptable and constructive, and to fix or remove it otherwise.

  5. Wordtune - Wikipedia

    en.wikipedia.org/wiki/Wordtune

    Wordtune is an AI powered reading and writing companion capable of fixing grammatical errors, understanding context and meaning, suggesting paraphrases or alternative writing tones, and generating written text based on context. [1] [2] [3] It is developed by the Israeli AI company AI21 Labs. [4] [5] [6] [7]

  6. Opinion: AI-assisted writing is close to becoming as standard ...

    www.aol.com/news/opinion-ai-assisted-writing...

    Using AI to generate ideas, create an outline and provide specific instructions for writing each paragraph, Terry wasn’t using an AI assistant; he had become the assistant — and so will we.

  7. DeepSeek - Wikipedia

    en.wikipedia.org/wiki/DeepSeek

    It contained a higher ratio of math and programming than the pretraining dataset of V2. Extend context length twice, from 4K to 32K and then to 128K, using YaRN. [53] This produced DeepSeek-V3-Base. SFT for 2 epochs on 1.5M samples of reasoning (math, programming, logic) and non-reasoning (creative writing, roleplay, simple question answering ...

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