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MscGen. Mscgen (short for MSC generator) is a software tool for drawing message sequence charts from a simple to manage text-based source file. Rendered charts can be output in PNG, SVG and PostScript, with hyperlink information in ismap format. There is an extension for MediaWiki, Sphinx (documentation generator) and integration with Doxygen ...
Use the SVG format whenever possible. If you can't, use any software to create the plot in a bitmap format but make it very large, for instance 6000×4500 pixel size with Postscript Times or Symbol font size 48 and a line thickness of 17 pixels. Then use software like Photoshop or GIMP to Gaussian blur it at 2 pixels.
A graph or chart or diagram is a diagrammatical illustration of a set of data. If the graph is uploaded as an image file, it can be placed within articles just like any other image . Graphs must be accurate and convey information efficiently. They should be viewable at different computer screen resolutions.
Template:Graph:Chart is an alternative template that may produce higher-quality charts and has more functions in it. This template can be used to create a horizontal bar chart, scrolling down a page, in a format which can be parsed by text-based web browsers. The data items can be simple numbers, or the result of calculations based on template ...
Generative artificial intelligence ( generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of their input training data and then generate new data that has ...
Text graph. In natural language processing (NLP), a text graph is a graph representation of a text item (document, passage or sentence). It is typically created as a preprocessing step to support NLP tasks such as text condensation [1] term disambiguation [2] (topic-based) text summarization, [3] relation extraction [4] and textual entailment. [5]
History Initial developments. Generative pretraining (GP) was a long-established concept in machine learning applications. It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
The above bar chart, showing population bars for each year, can be generated by using the markup text listed below. The example text (below) can be copied and shortened, or expanded, to handle other years or numbers in a bar chart format. The image size is set as "ImageSize = width:450 height:305" for a box of 450x305px.
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