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2. OpenPDF - Wikipedia

   en.wikipedia.org/wiki/OpenPDF

   OpenPDF is a free Java library for creating and editing PDF files with the Mozilla Public License and the GNU Library General Public License free software license. It is a fork of iText, created because the license of iText was changed from LGPL / MPL to a dual AGPL and proprietary license in order for the original authors to sell a proprietary version of the software. [3]

3. PDFtk - Wikipedia

   en.wikipedia.org/wiki/Pdftk

   PDFtk (short for PDF Toolkit) is a toolkit for manipulating Portable Document Format (PDF) documents. [ 3 ] [ 4 ] It runs on Linux , Windows and macOS . [ 5 ] It comes in three versions: PDFtk Server ( open-source command-line tool ), PDFtk Free ( freeware ) and PDFtk Pro ( proprietary paid ). [ 2 ]

4. Wu Dao - Wikipedia

   en.wikipedia.org/wiki/Wu_Dao

   WuDao Corpora (also written as WuDaoCorpora), as of version 2.0, was a large dataset constructed for training Wu Dao 2.0. It contains 3 terabytes of text scraped from web data, 90 terabytes of graphical data (incorporating 630 million text/image pairs), and 181 gigabytes of Chinese dialogue (incorporating 1.4 billion dialogue rounds). [19]

5. Cohere CEO Aidan Gomez on what to expect from 'AI 2.0' - AOL

   www.aol.com/cohere-ceo-aidan-gomez-expect...

   Companies will soon focus on customizing AI solutions for specific needs, Cohere's CEO says. AI 2.0 will "help fundamentally transform how businesses operate," he wrote. Major AI companies like ...

6. Apache PDFBox - Wikipedia

   en.wikipedia.org/wiki/Apache_PDFBox

   Apache PDFBox is an open source pure-Java library that can be used to create, render, print, split, merge, alter, verify and extract text and meta-data of PDF files.. Open Hub reports over 11,000 commits (since the start as an Apache project) by 18 contributors representing more than 140,000 lines of code.

7. Large language model - Wikipedia

   en.wikipedia.org/wiki/Large_language_model

   A large language model (LLM) is a type of computational model designed for natural language processing tasks such as language generation.As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.