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PHP File Manager with Image Editor and Amazon S3 and Azure Blob support. TinyMCE 6.x, TinyMCE 5.x, and TinyMCE 4.x. [21] Free for one website with up to 15 end-users. Requires a paid subscription or paid license for more features or more sites and users. [22] MoxieManager File and image management for TinyMCE. TinyMCE 6.x [23] and TinyMCE 5.x. [24]
4 Pics 1 Word's gameplay is very simple: each level displays four pictures linked by one word; the player's aim is to work out what the word is, from a set of letters given below the pictures. [2] Players will find themselves seeing commonalities between two or three photos but being unable to figure out the linking word.
Smallpdf was founded in 2013 by Mathis Büchi, Lino Teuteberg, and Manuel Stofer while they were living abroad in Korea. The idea came from the need for their families to compress and send large documents via email. [5] The initial version of the site featured a standalone PDF compression tool. [6]
Nate Archibald (born 1948), American National Basketball Association player; Tiny Bonham (1913–1949), American Major League Baseball pitcher; Tiny Bradshaw (1905–1958), American jazz and rhythm and blues bandleader, singer, composer, and musician
A word processor (WP) [1] [2] is a device or computer program that provides for input, editing, formatting, and output of text, often with some additional features.. Early word processors were stand-alone devices dedicated to the function, but current word processors are word processor programs running on general purpose computers.
Given an existing image, DALL-E 2 can produce "variations" of the image as individual outputs based on the original, as well as edit the image to modify or expand upon it. DALL-E 2's "inpainting" and "outpainting" use context from an image to fill in missing areas using a medium consistent with the original, following a given prompt.
The word with embeddings most similar to the topic vector might be assigned as the topic's title, whereas far away word embeddings may be considered unrelated. As opposed to other topic models such as LDA , top2vec provides canonical ‘distance’ metrics between two topics, or between a topic and another embeddings (word, document, or otherwise).
Wherefore the word which sounds externally, is a sign of the word which lies hid within, to which the name of word more truly appertains. For that which is uttered by the mouth of our flesh, is the voice of the word; and is in fact called word, with reference to that from which it is taken, when it is developed externally." [65]
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