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Prompt engineering (Czech Wikipedia)

Analysis of information sources in references of the Wikipedia article "Prompt engineering" in Czech language version.

refsWebsite
Global rank Czech rank
7doi.org
2nd place
4th place
2arxiv.org
69th place
196th place
2datacamp.com
low place
low place
1promptovani.cz
low place
low place
1kdnuggets.com
low place
5,093rd place
1acm.org
1,185th place
846th place
1openreview.net
low place
low place
1googleblog.com
1,272nd place
5,345th place
1web.archive.org
1st place
1st place
1aipe.cz
low place
low place
1neurips.cc
low place
low place

acm.org (Global: 1,185th place; Czech: 846th place)

dl.acm.org

aipe.cz (Global: low place; Czech: low place)

  • Naučte se Promptování: Průvodce komunikací s umělou inteligencí. aipe.cz [online]. [cit. 2023-06-05]. Dostupné v archivu pořízeném z originálu dne 2023-06-05. 

arxiv.org (Global: 69th place; Czech: 196th place)

  • openreview.net. Dostupné online. arXiv 2201.11903. 
  • LEWIS, Patrick; PEREZ, Ethan; PIKTUS, Aleksandra; PETRONI, Fabio; KARPUKHIN, Vladimir; GOYAL, Naman; KÜTTLER, Heinrich. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. Advances in Neural Information Processing Systems. Curran Associates, Inc., 2020, s. 9459–9474. Dostupné online. arXiv 2005.11401. 

datacamp.com (Global: low place; Czech: low place)

  • SELVARAJ, Natassha. What is Retrieval Augmented Generation (RAG)? [online]. Datacamp [cit. 2024-01-24]. Dostupné online. 
  • THEVAPALAN, Arunn. A Beginner's Guide to The OpenAI API: Hands-On Tutorial and Best Practices [online]. Datacamp [cit. 2024-01-24]. Dostupné online. 

doi.org (Global: 2nd place; Czech: 4th place)

doi.org

  • MANN, Benjamin; RYDER, Nick; SUBBIAH, Melanie. Language Models are Few-Shot Learners. arXiv, Advances in Neural Information Processing Systems 33. 2020-05-28. QID: Q95727440. doi:10.48550/ARXIV.2005.14165. (anglicky) 
  • WEI, Jason; WANG, Xuezhi; SCHUURMANS, Dale. Chain of Thought Prompting Elicits Reasoning in Large Language Models.Chybí název periodika! 2022-01-28. QID: Q111971110. doi:10.48550/ARXIV.2201.11903. (anglicky) 
  • [s.l.]: [s.n.] Dostupné online. ISBN 9781450391573. doi:10.1145/3491102.3501825. 
  • LI, Xiang Lisa; LIANG, Percy. Prefix-Tuning: Optimizing Continuous Prompts for Generation. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). [s.l.]: [s.n.], 2021-08-01. QID: Q110887424. doi:10.18653/V1/2021.ACL-LONG.353. S. 4582–4597. (anglicky)
  • LESTER, Brian; AL-RFOU, Rami; CONSTANT, Noah. The Power of Scale for Parameter-Efficient Prompt Tuning. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. [s.l.]: [s.n.], 2021-11-01. QID: Q110887400. doi:10.18653/V1/2021.EMNLP-MAIN.243. S. 3045–3059. (anglicky)
  • YANG, Jingfeng; JIANG, Haoming; YIN, Qingyu. SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. In: Findings of the Association for Computational Linguistics: NAACL 2022. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. Dostupné online. doi:10.18653/v1/2022.findings-naacl.5.

dx.doi.org

  • YANG, Jingfeng; JIANG, Haoming; YIN, Qingyu. SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. In: Findings of the Association for Computational Linguistics: NAACL 2022. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. Dostupné online. doi:10.18653/v1/2022.findings-naacl.5.

googleblog.com (Global: 1,272nd place; Czech: 5,345th place)

ai.googleblog.com

kdnuggets.com (Global: low place; Czech: 5,093rd place)

neurips.cc (Global: low place; Czech: low place)

proceedings.neurips.cc

  • LEWIS, Patrick; PEREZ, Ethan; PIKTUS, Aleksandra; PETRONI, Fabio; KARPUKHIN, Vladimir; GOYAL, Naman; KÜTTLER, Heinrich. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. Advances in Neural Information Processing Systems. Curran Associates, Inc., 2020, s. 9459–9474. Dostupné online. arXiv 2005.11401. 

openreview.net (Global: low place; Czech: low place)

promptovani.cz (Global: low place; Czech: low place)

  • Promptování AI | Jak zkrotit Umělou Inteligenci. promptovani.cz [online]. [cit. 2024-09-02]. Dostupné online. 

web.archive.org (Global: 1st place; Czech: 1st place)

  • Naučte se Promptování: Průvodce komunikací s umělou inteligencí. aipe.cz [online]. [cit. 2023-06-05]. Dostupné v archivu pořízeném z originálu dne 2023-06-05.