Velký jazykový model (Czech Wikipedia)

Analysis of information sources in references of the Wikipedia article "Velký jazykový model" in Czech language version.

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acm.org

dl.acm.org

analyticsindiamag.com

arxiv.org

blog.google

  • Google I/O 2023: Making AI more helpful for everyone. Google [online]. 2023-05-10 [cit. 2023-10-08]. Dostupné online. (anglicky) 

cv-foundation.org

czechency.org

  • TOKENIZACE | Nový encyklopedický slovník češtiny. www.czechency.org [online]. [cit. 2023-08-16]. Dostupné online. 

doi.org

dx.doi.org

  • LUO, Queenie; PUETT, Michael J.; SMITH, Michael D. A "Perspectival" Mirror of the Elephant: Investigating Language Bias on Google, ChatGPT, YouTube, and Wikipedia. arxiv.org. 2023. Dostupné online [cit. 2024-05-05]. DOI 10.48550/ARXIV.2303.16281. 

ibm.com

ibm.com

  • IBM Watson. www.ibm.com [online]. [cit. 2023-09-28]. Dostupné online. (anglicky) 

newsroom.ibm.com

  • IBM Plans to Make Llama 2 Available within its Watsonx AI and Data Platform. IBM Newsroom [online]. [cit. 2023-09-28]. Dostupné online. (anglicky) 

kdnuggets.com

langchain.com

docs.langchain.com

  • Introduction. docs.langchain.com [online]. LangChain [cit. 2023-07-10]. Dostupné online. (anglicky) 

medium.com

medium.com

datascienceafrica.medium.com

  • TONYLOI, Isaac. Understanding large language models [online]. 2023-05-23 [cit. 2023-08-20]. Dostupné online. (anglicky) 

meta.com

ai.meta.com

  • Llama 2 - Meta AI. ai.meta.com [online]. [cit. 2023-09-05]. Dostupné online. (anglicky) 

mistral.ai

  • AI, Mistral. Mistral AI | Open source models. mistral.ai [online]. [cit. 2023-10-14]. Dostupné online. (anglicky) 

neptune.ai

  • MENZLI, Amal. Tokenization in NLP: Types, Challenges, Examples, Tools. neptune.ai [online]. 2022-07-21 [cit. 2023-08-16]. Dostupné online. (anglicky) 

nyu.edu

cims.nyu.edu

openai.com

platform.openai.com

openreview.net

paperswithcode.com

quantamagazine.org

researchgate.net

techxplore.com

  • Large language models repeat conspiracy theories and other forms of misinformation, research finds. techxplore.com [online]. [cit. 2023-12-20]. Dostupné online. 
  • Researchers find LLMs are easy to manipulate into giving harmful information. techxplore.com [online]. [cit. 2024-05-17]. Dostupné online. 
  • Reasoning skills of large language models are often overestimated, researchers find. techxplore.com [online]. [cit. 2024-07-12]. Dostupné online. 
  • Common way to test for leaks in large language models may be flawed. techxplore.com [online]. [cit. 2024-11-15]. Dostupné online.