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NotebookLM can generate summaries, explanations, and answers based on content uploaded by users. It also includes "Audio Overviews," which summarize documents in a conversational, podcast-like format. [8] [1] In addition to text files, NotebookLM can process PDFs, Google Docs, websites, and Google Slides. [8]
Thankfully, researchers at the Allen Institute for Artificial Intelligence have developed a new model to summarize text from scientific papers, and present it in a few sentences in the form of TL ...
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
Due to issues with the audio player (used in {{Listen to this article spoken by AI}} above) like a missing skip x seconds back button, the best way to listen to these is to download these audio files and then listen to them using your preferred podcast player on your smartphone such as "Simple Audiobook Player". Other recommendations can be ...
Open-source, cross-platform C library to generate PDF files. OpenPDF: GNU LGPLv3 / MPLv2.0: Open source library to create and manipulate PDF files in Java. Fork of an older version of iText, but with the original LGPL / MPL license. PDFsharp: MIT C# developer library to create, extract, edit PDF files. Poppler: GNU GPL
(and the corresponding index file, pages-articles-multistream-index.txt.bz2) pages-articles.xml.bz2 and pages-articles-multistream.xml.bz2 both contain the same xml contents. So if you unpack either, you get the same data. But with multistream, it is possible to get an article from the archive without unpacking the whole thing.
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