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    "Todo: Dytt inn [BetterBibtex](https://pypi.org/project/sphinxcontrib-bibtex/) om nødvendig"
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    "# References and literature\n",
    "\n",
    "Join our [Zotero group library\n",
    "here](https://www.zotero.org/groups/5856400/llm-course/library)\n",
    "\n",
    "Cho, C., 2023. [Answer to “What is a beam?” Artificial Intelligence Stack\n",
    "Exchange](https://ai.stackexchange.com/questions/41668/what-is-a-beam).\n",
    "\n",
    "Cloudflare, n.d. [What is an LLM?](https://www.cloudflare.com/learning/ai/what-is-large-language-model)\n",
    "(accessed 2.5.25).\n",
    "\n",
    "Geremia, 2023. [What is a beam?](https://ai.stackexchange.com/questions/41668/what-is-a-beam) Artificial Intelligence Stack Exchange.\n",
    "\n",
    "Heaven, W.D., 2024. [Why does AI hallucinate?](https://link.gale.com/apps/doc/A808295865/AONE?u=oslo&sid=bookmark-AONE&xid=d2b427e2) MIT Technology Review 127,20–21.\n",
    "\n",
    "Huggingface, n.d. [What 🤗 Transformers can do](https://huggingface.co/docs/transformers/en/task_summary).\n",
    "Accessed 2.5.25\n",
    "\n",
    "Huggingface, n.d. [Text generation strategies](https://huggingface.co/docs/transformers/generation_strategies).\n",
    "(accessed 2.5.25).\n",
    "\n",
    "Huggingface, n.d. [Pipelines — transformers 3.1.0 documentation](https://huggingface.co/transformers/v3.1.0/main_classes/pipelines.html?highlight=ner)\n",
    "(accessed 2.5.25).\n",
    "\n",
    "Huggingface, n.d. [GGUF and interaction with Transformers](https://huggingface.co/docs/transformers/en/gguf).\n",
    "(accessed 2.5.25d).\n",
    "\n",
    "Huggingface, n.d. 🤗 [Transformers](https://huggingface.co/docs/transformers/index)\n",
    "(accessed 2.5.25e).\n",
    "\n",
    "Jenkins, T.E., n.d. [Pipeline Initialization - Jenkins Templating Engine](https://jenkinsci.github.io/templating-engine-plugin/2.5/concepts/advanced/pipeline-initialization/).\n",
    "(accessed 2.5.25).\n",
    "\n",
    "Jurafsky, D., Martin, J.H., n.d. [Speech and Language Processing](https://web.stanford.edu/~jurafsky/slp3/)\n",
    "(accessed 2.5.25).\n",
    "\n",
    "Our World in Data, n.d. [Parameters in notable artificial intelligence\n",
    "systems](https://ourworldindata.org/grapher/artificial-intelligence-parameter-count). Our World in Data.\n",
    "(accessed 2.5.25).\n",
    "\n",
    "Picture, D.S., Nikhil Thorat, Charles Nicholson, Big, n.d. [Embedding\n",
    "projector - visualization of high-dimensional data](http://projector.tensorflow.org)\n",
    "(accessed 2.5.25).\n",
    "\n",
    "Snehal, 2024. [Exploring Model Quantization for LLMs](https://medium.com/@isnehal.sp/exploring-model-quantization-for-llms-bc2c1f4c9382). Medium.\n",
    "(accessed 2.5.25).\n",
    "\n",
    "University of Oslo, n.d. GPT UiO – [UiOs personverntrygge KI-chat](https://www.uio.no/tjenester/it/ki/gpt-uio/index.html) -\n",
    "Universitetet i Oslo.\n",
    "(accessed 2.5.25a).\n",
    "\n",
    "University of Oslo, n.d. [Data storage guide](https://www.uio.no/english/services/it/security/lsis/storage-guide.html) - University of Oslo\n",
    "(accessed 2.5.25b).\n",
    "\n",
    "Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez,\n",
    "A.N., Kaiser, L., Polosukhin, I., 2023. [Attention Is All You Need](https://doi.org/10.48550/arXiv.1706.03762).\n",
    "\n",
    "Wikipedia, 2024. [Beam search](https://en.wikipedia.org/wiki/Beam_search). Wikipedia.\n",
    "\n",
    "Winge, E., n.d. [An Introduction to running Large Language Models on Fox](https://uio-library.github.io/LLM-course/).\n",
    "(accessed 2.5.25)."
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