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  2. PDF24 Creator - Wikipedia

    en.wikipedia.org/wiki/PDF24_Creator

    The commands sent are then used to create a PDF file. PDF24 Creator uses PDFBox , QPDF and Ghostscript , which are automatically installed as a private instances for the PDF24 Creator. After printing a document on the PDF printer, a wizard opens automatically, where the created PDF file can be edited or further worked on.

  3. BLOOM (language model) - Wikipedia

    en.wikipedia.org/wiki/BLOOM_(language_model)

    BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [ 3 ]

  4. Llama (language model) - Wikipedia

    en.wikipedia.org/wiki/Llama_(language_model)

    Llama was trained on only publicly available information, and was trained at various model sizes, with the intention to make it more accessible to different hardware. The model was exclusively a foundation model , [ 6 ] although the paper contained examples of instruction fine-tuned versions of the model.

  5. JPMorgan Chase is giving its employees an AI assistant ... - AOL

    www.aol.com/news/jpmorgan-chase-giving-employees...

    People pass a sign for JPMorgan Chase & Co. at it's headquarters in New York, on Oct. 2, 2012. ... Rather than developing its own AI models, JPMorgan designed LLM Suite to be a portal that allows ...

  6. Wikipedia:Large language models - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Large_language...

    This page in a nutshell: Avoid using large language models (LLMs) to write original content or generate references. LLMs can be used for certain tasks (like copyediting, summarization, and paraphrasing) if the editor has substantial prior experience in the intended task and rigorously scrutinizes the results before publishing them.

  7. NotebookLM - Wikipedia

    en.wikipedia.org/wiki/NotebookLM

    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]