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"# Litteratur\n",
"\n",
"\n",
"\n",
"Join our [Zotero group library here](https://www.zotero.org/groups/5856400/llm-course/library)\n",
"\n",
"Cho, C., 2023. Answer to βWhat is a beam?β Artificial Intelligence Stack Exchange.\n",
"\n",
"Cloudflare, n.d. What is an LLM (large language model)? [WWW Document]. URL [https://www.cloudflare.com/learning/ai/what-is-large-language-model/](https://www.cloudflare.com/learning/ai/what-is-large-language-model/) (accessed 2.5.25).\n",
"\n",
"Geremia, 2023. What is a beam? Artificial Intelligence Stack Exchange.\n",
"\n",
"Heaven, W.D., 2024. Why does AI hallucinate? MIT Technology Review 127, 20β21.\n",
"\n",
"Huggingface, n.d. What π€ Transformers can do [WWW Document]. URL [https://huggingface.co/docs/transformers/en/task_summary](https://huggingface.co/docs/transformers/en/task_summary) (accessed 2.5.25a).\n",
"\n",
"Huggingface, n.d. Text generation strategies [WWW Document]. URL [https://huggingface.co/docs/transformers/generation_strategies](https://huggingface.co/docs/transformers/generation_strategies) (accessed 2.5.25b).\n",
"\n",
"Huggingface, n.d. Pipelines β transformers 3.1.0 documentation [WWW Document]. URL [https://huggingface.co/transformers/v3.1.0/main_classes/pipelines.html?highlight=ner](https://huggingface.co/transformers/v3.1.0/main_classes/pipelines.html?highlight=ner) (accessed 2.5.25c).\n",
"\n",
"Huggingface, n.d. GGUF and interaction with Transformers [WWW Document]. URL [https://huggingface.co/docs/transformers/en/gguf](https://huggingface.co/docs/transformers/en/gguf) (accessed 2.5.25d).\n",
"\n",
"Huggingface, n.d. π€ Transformers [WWW Document]. URL [https://huggingface.co/docs/transformers/index](https://huggingface.co/docs/transformers/index) (accessed 2.5.25e).\n",
"\n",
"Jenkins, T.E., n.d. Pipeline Initialization - Jenkins Templating Engine [WWW Document]. URL [https://jenkinsci.github.io/templating-engine-plugin/2.5/concepts/advanced/pipeline-initialization/](https://jenkinsci.github.io/templating-engine-plugin/2.5/concepts/advanced/pipeline-initialization/) (accessed 2.5.25).\n",
"\n",
"Jurafsky, D., Martin, J.H., n.d. Speech and Language Processing [WWW Document]. URL [https://web.stanford.edu/~jurafsky/slp3/](https://web.stanford.edu/~jurafsky/slp3/) (accessed 2.5.25).\n",
"\n",
"nbro, 2023. Answer to βWhat is a beam?β Artificial Intelligence Stack Exchange.\n",
"\n",
"Our World in Data, n.d. Parameters in notable artificial intelligence systems [WWW Document]. Our World in Data. URL [https://ourworldindata.org/grapher/artificial-intelligence-parameter-count](https://ourworldindata.org/grapher/artificial-intelligence-parameter-count) (accessed 2.5.25).\n",
"\n",
"Picture, D.S., Nikhil Thorat, Charles Nicholson, Big, n.d. Embedding projector - visualization of high-dimensional data [WWW Document]. URL [http://projector.tensorflow.org](http://projector.tensorflow.org) (accessed 2.5.25).\n",
"\n",
"Snehal, 2024. Exploring Model Quantization for LLMs. Medium. URL [https://medium.com/@isnehal.sp/exploring-model-quantization-for-llms-bc2c1f4c9382](https://medium.com/@isnehal.sp/exploring-model-quantization-for-llms-bc2c1f4c9382) (accessed 2.5.25).\n",
"\n",
"University of Oslo, n.d. GPT UiO β UiOs personverntrygge KI-chat - Universitetet i Oslo [WWW Document]. URL [https://www.uio.no/tjenester/it/ki/gpt-uio/index.html](https://www.uio.no/tjenester/it/ki/gpt-uio/index.html) (accessed 2.5.25a).\n",
"\n",
"University of Oslo, n.d. Data storage guide - University of Oslo [WWW Document]. URL [https://www.uio.no/english/services/it/security/lsis/storage-guide.html](https://www.uio.no/english/services/it/security/lsis/storage-guide.html) (accessed 2.5.25b).\n",
"\n",
"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I., 2023. Attention Is All You Need. [https://doi.org/10.48550/arXiv.1706.03762](https://doi.org/10.48550/arXiv.1706.03762)\n",
"\n",
"Wikipedia, 2024. Beam search. Wikipedia.\n",
"\n",
"Winge, E., n.d. Retrieval-Augmented Generation β Introduction to Large Language Models on Fox [WWW Document]. URL [https://uio-library.github.io/LLM-course/4_RAG.html](https://uio-library.github.io/LLM-course/4_RAG.html) (accessed 2.5.25)."
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