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Solid Converter PDF. Solid Converter PDF is document reconstruction software from Solid Documents which converts PDF files to editable formats. Originally released for the Microsoft Windows operating system, a Mac OS X version was released in 2010. The current versions are Solid Converter PDF 9.0 for Windows and Solid PDF to Word for Mac 2.1.
Machine learningand data mining. A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. Note: it uses the pre-LN convention, which is different from the post-LN convention used in the original 2017 Transformer. A transformer is a deep learning architecture developed by researchers at Google and based on ...
Machine learningand data mining. Generative pre-trained transformers (GPTs) are a type of large language model (LLM) [1][2][3] and a prominent framework for generative artificial intelligence. [4][5] They are artificial neural networks that are used in natural language processing tasks. [6] GPTs are based on the transformer architecture, pre ...
OpenOffice or LibreOffice. LibreOffice Writer can save Word documents directly to wikitext: go to File → Export → Save as type: Mediawiki. (For Linux users it may be necessary to install the library libreoffice-wiki-publisher ). Alternatively, use the command-line utility like this: soffice--headless--convert-totxt:MediaWikimydocument.doc.
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...
An illustration of main components of the transformer model from the paper. " Attention Is All You Need " [ 1 ] is a 2017 landmark [ 2 ][ 3 ] research paper in machine learning authored by eight scientists working at Google. The paper introduced a new deep learning architecture known as the transformer, based on the attention mechanism proposed ...
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