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  2. This $39 AI-powered résumé app could help outsmart ... - AOL

    www.aol.com/39-ai-powered-r-sum-090000622.html

    TL;DR: As of April 6, get a lifetime subscription to this AI Résumé Builder for just $39 — a 97% discount.You may be the most qualified candidate for a job with a résumé that proves it, but ...

  3. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    For example, in that model, a zip file's compressed size includes both the zip file and the unzipping software, since you can not unzip it without both, but there may be an even smaller combined form. Examples of AI-powered audio/video compression software include NVIDIA Maxine, AIVC. [24]

  4. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...

  5. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    Interactive Forms is a mechanism to add forms to the PDF file format. PDF currently supports two different methods for integrating data and PDF forms. Both formats today coexist in the PDF specification: [38] [53] [54] [55] AcroForms (also known as Acrobat forms), introduced in the PDF 1.2 format specification and included in all later PDF ...

  6. LuraTech - Wikipedia

    en.wikipedia.org/wiki/Luratech

    In 2002 LuraTech created the PDF Compressor, applying the concepts of MRC layered document compression to PDF standards, especially PDF/A. This was the first workflow solution that LuraTech built on top of its software development kits.

  7. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

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