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Openclipart, also called Open Clip Art Library, is an online media repository of free-content vector clip art.The project hosts over 160,000 free graphics and has billed itself as "the largest community of artists making the best free original clipart for you to use for absolutely any reason".
In-home tutoring, also known as tuition in British English, it is a form of tutoring that occurs in the home. Tutoring involves receiving guidance and instruction from a tutor who may serve as a teacher or mentor to the student receiving the tutoring. Most often tutoring relates to an academic subject or test preparation.
Some fine art, clip art is still sold on a rights managed basis. However this type of image rights has seen a steep decline in the past 20 years as royalty free licenses have become the preferred model for clip art. Public domain images continue to be one of the most popular types of clip art because the image rights are free.
Legend: File formats: the image or video formats allowed for uploading; IPTC support: support for the IPTC image header . Yes - IPTC headers are read upon upload and exposed via the web interface; properties such as captions and keywords are written back to the IPTC header and saved along with the photo when downloading or e-mailing it
CIRCSIM_Tutor is an intelligent tutoring system that is used with first year medical students at the Illinois Institute of Technology. It uses natural dialogue based, Socratic language to help students learn about regulating blood pressure. [73] Why2-Atlas Why2-Atlas is an ITS that analyses students explanations of physics principles.
The starting point was the contrast between a public school and private teaching (eg., provided by a hired tutor). [2] In England and Wales schools that are called public schools are not funded from public taxation, generally called "state schools". [15] Sydney Smith in an 1810 article published in The Edinburgh Review suggested the following.
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CLIP has been used in various domains beyond its original purpose: Image Featurizer: CLIP's image encoder can be adapted as a pre-trained image featurizer. This can then be fed into other AI models. [1] Text-to-Image Generation: Models like Stable Diffusion use CLIP's text encoder to transform text prompts into embeddings for image generation. [3]
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