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  2. Filler text - Wikipedia

    en.wikipedia.org/wiki/Filler_text

    The Character Generator Protocol (CHARGEN) service is an Internet protocol intended for testing, debugging, and measurement purposes. The user receives a stream of bytes . Although the specific format of the output is not prescribed by RFC 864 , the recommended pattern (and a de facto standard ) is shifted lines of 72 ASCII characters repeating.

  3. List of Unicode characters - Wikipedia

    en.wikipedia.org/wiki/List_of_Unicode_characters

    2 Control-D has been used to signal "end of file" for text typed in at the terminal on Unix / Linux systems. Windows, DOS, and older minicomputers used Control-Z for this purpose. 3 Control-G is an artifact of the days when teletypes were in use. Important messages could be signalled by striking the bell on the teletype.

  4. Unicode input - Wikipedia

    en.wikipedia.org/wiki/Unicode_input

    The KCharSelect character mapping tool shown displaying a subset of the Unicode Mathematical Operators The Unicode logo. Unicode input is method to add a specific Unicode character to a computer file; it is a common way to input characters not directly supported by a physical keyboard.

  5. SMS language - Wikipedia

    en.wikipedia.org/wiki/SMS_language

    SMS language displayed on a mobile phone screen. Short Message Service language, textism, or textese [a] is the abbreviated language and slang commonly used in the late 1990s and early 2000s with mobile phone text messaging, and occasionally through Internet-based communication such as email and instant messaging.

  6. Font - Wikipedia

    en.wikipedia.org/wiki/Font

    The Bauer Bodoni typeface, with samples of the three of the fonts in the family: Roman (or regular), bold, and italic.. In metal typesetting, a font (American English) or fount (Commonwealth English) is a particular size, weight and style of a typeface, defined as the set of fonts that share an overall design.

  7. Text-to-video model - Wikipedia

    en.wikipedia.org/wiki/Text-to-video_model

    A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .

  8. Evercookie - Wikipedia

    en.wikipedia.org/wiki/Evercookie

    [1] [8] When the user visits a website for the first time, the web server may generate a unique identifier and store it on the user's browser or local space. [9] The website can read and identify the user in its future visits with the stored identifier, and the website can save user's preferences and display marketing advertisements. [ 9 ]

  9. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.