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12 de jul. de 2023 · Wikipedia is one of the largest open corpuses of information on the internet, with versions in over 300 languages. To date, every LLM is trained on Wikipedia content, and it is almost always the largest source of training data in their data sets. An obvious thing to do with one of these new systems is to try to generate Wikipedia articles.
Wikipedia:Large language models and copyright. An LLM can generate copyright-violating material. [a] Generated text may include verbatim snippets from non-free content or be a derivative work. In addition, using LLMs to summarize copyrighted content (like news articles) may produce excessively close paraphrases .
Ein Large Language Model, kurz LLM, ist ein Sprachmodell, das sich durch seine Fähigkeit zur unspezifischen Erzeugung von Texten auszeichnet. Es handelt sich um ein computerlingutistisches Wahrscheinlichkeitsmodell, das statistische Wort- und Satzfolge-Beziehungen aus einer Vielzahl von Textdokumenten durch einen rechenintensiven ...
23 de may. de 2023 · This paper presents the first few-shot LLM-based chatbot that almost never hallucinates and has high conversationality and low latency. WikiChat is grounded on the English Wikipedia, the largest curated free-text corpus. WikiChat generates a response from an LLM, retains only the grounded facts, and combines them with additional information it retrieves from the corpus to form factual and ...
LLM. LLM steht als Abkürzung für: Laserlichtmodul, eine Zielhilfe für Handwaffen, siehe LLM01. Long Lama, Flughafen in Malaysia (IATA-Code) Yamal Airlines, russische Fluggesellschaft (ICAO-Code) Large Language Model, mit großen Datenmengen trainiertes Sprachmodell, siehe großes Sprachmodell. LL.M. steht für: Legum Magister, siehe Master ...
LLM. Master în drept ( Master of Laws în engleză) este un titlu academic sau o diplomă de cercetare. Master în drept este în general abreviat ca LL.M. sau dar și LLM (de la Legum Magister în latină ).
A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper "Attention Is All You Need". [1] Text is converted to numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. [1]
