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  2. Image conversion - Wikipedia

    en.wikipedia.org/wiki/Image_conversion

    Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images.. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifa

  3. Comparison of graphics file formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_graphics...

    PDF: Portable Document Format Adobe Systems.pdf, .epdf ... None, RLE, JPEG, and PNG Raster 16 bpc Yes Yes No No No No No Yes No No No BPG: HEVC, Lossy and lossless

  4. Help : How to reduce colors for saving a JPEG as PNG

    en.wikipedia.org/wiki/Help:How_to_reduce_colors...

    Making an image that was incorrectly saved as JPEG fit for saving as PNG; Suppose you have a map for an island that was inadvertently saved as JPEG. Looks OK, if a bit fuzzy. 1. In your bitmap graphics editor, set your fuzzy selection ("magic wand") tool so that it only will select pixels of exactly the same color. (Here: Threshold = 0) 2.

  5. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    deskUNPDF: PDF converter to convert PDFs to Word (.doc, docx), Excel (.xls), (.csv), (.txt), more; GSview: File:Convert menu item converts any sequence of PDF pages to a sequence of images in many formats from bit to tiffpack with resolutions from 72 to 204 × 98 (open source software) Google Chrome: convert HTML to PDF using Print > Save as PDF.

  6. File:The-Transformer-model-architecture.png - Wikipedia

    en.wikipedia.org/wiki/File:The-Transformer-model...

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  7. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    Transformer architecture is now used in many generative models that contribute to the ongoing AI boom. In language modelling, ELMo (2018) was a bi-directional LSTM that produces contextualized word embeddings, improving upon the line of research from bag of words and word2vec. It was followed by BERT (2018), an encoder-only Transformer model. [33]