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2. Template:Non-free video sample - Wikipedia

   en.wikipedia.org/wiki/Template:Non-free_video_sample

   For example non-free use rationales, see Wikipedia:Use rationale examples. This tag should only be used for video extracts, do not use it for other purposes. To patrollers and administrators: If this image has an appropriate rationale please append |image has rationale=yes as a parameter to the license template.

3. Help:Designing infoboxes - Wikipedia

   en.wikipedia.org/wiki/Help:Designing_infoboxes

   To start a new page in your namespace, enter "Special:Mypage/" followed by the page name you wish to create into the search box (or create such a link in a location such as the general sandbox). For example, to create a home for the prototype "Infobox_mysubject" in your user space, you would search: Special:Mypage/Infobox mysubject. Do not ...

4. Wikipedia : Wiki Guides/HowToEdit

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

   If you want to make test edits, you can make them here, and if you need help along the way, you can chat with a Wikipedia volunteer online. Watch a video tutorial for editing Wikipedia! Having trouble viewing the video? - See larger Editing most Wikipedia pages is easy. Simply click on the "edit" button anywhere on a Wikipedia page.

5. Box-drawing characters - Wikipedia

   en.wikipedia.org/wiki/Box-drawing_characters

   Midnight Commander using box-drawing characters in a terminal emulator. Box-drawing characters, also known as line-drawing characters, are a form of semigraphics widely used in text user interfaces to draw various geometric frames and boxes.

6. Add Stationery in AOL Mail

   help.aol.com/articles/how-do-i-add-stationery-to...

   Add context and color to your emails for a more professional, impactful, or fun presentation whether you're sending a fun pick-me-up message or a professional resume, adding Stationery to your email is the perfect way to brighten up any message.

7. Text-to-video model - Wikipedia

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

   There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]