Rekayasa Prompt untuk Pustakawan menggunakan ChatGPT 4o
DOI:
https://doi.org/10.37014/medpus.v31i3.5256Keywords:
prompt engineering, artificial intelligence, librarian, librarian competency, ChatGPT-4oAbstract
The era of artificial intelligence usage has become increasingly massive lately. One of them is the use of ChatGPT-4o. ChatGPT is a generative artificial intelligence developed by OpenAI. ChatGPT-4o is the latest large language model released by OpenAI for ChatGPT. It is important for librarians not only to understand the current developments in artificial intelligence but also to master the skills relevant to artificial intelligence. Prompt engineering is a field of study that is relevant to artificial intelligence and the profession of librarianship. This research aims to identify prompt construction techniques in prompt engineering that are relevant for librarians to enhance their competencies in the field of artificial intelligence. This research is a qualitative study, as the author uses qualitative descriptive data in this research. The method of data collection used by the author in this research is literature study. The findings of this research are five prompt engineering techniques that librarians can use in carrying out their professional duties and responsibilities. Based on the implementation and testing conducted by the author, formalizing prompts is the most comprehensive prompt formulation technique in this research. This research shows that librarians can learn and master prompt engineering skills at a basic level. The recommendation from this study is that librarians need to actively engage in learning and mastering prompt engineering with the aim of enhancing their competencies. Furthermore, librarians who have mastered prompt engineering can play an important role in educating patrons about prompt engineering.References
Abraham, I., & Supriyati, Y. (2022). Desain kuasi eksperimen dalam pendidikan: literatur review. Jurnal Ilmiah Mandala Education, 8(3), Article 3. https://doi.org/10.58258/jime.v8i3.3800
Buchholz, K. (2023, Juli 7). Threads shoots past one million user mark at lightning speed. Statista Daily Data. https://www.statista.com/chart/29174/time-to-one-million-users
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: a review. IEEE Access, 8, 75264–75278. IEEE Access. https://doi.org/10.1109/ACCESS.2020.2988510
Chowdhury, M. N.-U.-R., & Haque, A. (2023). ChatGPT: its applications and limitations. 2023 3rd International Conference on Intelligent Technologies (CONIT), 1–7. https://doi.org/10.1109/CONIT59222.2023.10205621
Conahan, M. (2024, April 11). Efficient prompt engineering for librarians online course. ACRL Insider. https://acrl.ala.org/acrlinsider/efficient-prompt-engineering-for-librarians-online-course/
Conte, N. (2024, Januari 24). Ranked: the most popular ai tools. Visual Capitalist. https://www.visualcapitalist.com/ranked-the-most-popular-ai-tools/
Dergaa, I., Chamari, K., Zmijewski, P., & Saad, H. B. (2023). From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing. Biology of Sport, 40(2), 615–622. https://doi.org/10.5114/biolsport.2023.125623
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A.,
Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial intelligence (ai): multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57(April 2021), 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
EduRank. (2024, Februari 29). World’s best library and information science universities [rankings]. EduRank. https://edurank.org/cs/library/
Ekin, S. (2023). Prompt engineering for chatgpt: a quick guide to techniques, tips, and best practices. https://doi.org/10.36227/techrxiv.22683919.v2
Frederick, D. E. (2024). Prompt engineering – a disruption in information seeking?. Library Hi Tech News, 41(3), 1–5. https://doi.org/10.1108/LHTN-03-2024-0037
Gao, A. (2023). Prompt engineering for large language models (ssrn scholarly paper 4504303). Social Science Research Network. https://doi.org/10.2139/ssrn.4504303
Giray, L. (2023). Prompt engineering with ChatGPT: a guide for academic writers. Annals of Biomedical Engineering, 51(12), 2629–2633. https://doi.org/10.1007/s10439-023-03272-4
Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. The International Journal of Management Education, 18(1), 100330. https://doi.org/10.1016/j.ijme.2019.100330
Hadi, M. U., Tashi, Q. A., Qureshi, R., Shah, A., Muneer, A., Irfan, M., Zafar, A., Shaikh, M. B., Akhtar, N., Wu, J., & Mirjalili, S. (2023). A survey on large language models: applications, challenges, limitations, and practical usage. TechRxiv. https://doi.org/10.36227/techrxiv.23589741.v1
Hoffmann, J., Borgeaud, S., Mensch, A., Buchatskaya, E., Cai, T., Rutherford, E., de Las Casas, D., Hendricks, L. A., Welbl, J., Clark, A., Hennigan, T., Noland, E., Millican, K., van den Driessche, G., Damoc, B., Guy, A., Osindero, S., Simonyan, K., Elsen, E., .Sifre, L. (2022). An empirical analysis of compute-optimal large language model training. Advances in Neural Information Processing Systems 35, 35, 30016–30030. https://proceedings.neurips.cc/paper_files/paper/2022/hash/c1e2faff6f588870935f114ebe04a3e5-Abstract-Conference.html
Korzynski, P., Mazurek, G., Krzypkowska, P., & Kurasinski, A. (2023). Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT. Entrepreneurial Business and Economics Review, 11(3), Article 3. https://doi.org/10.15678/EBER.2023.110302
Learn Prompting. (2024). Learn prompting profile [social media]. Linkedin. https://www.linkedin.com/company/learn-prompting/
Lund, B. (2023). The prompt engineering librarian. Library Hi Tech News, 40(8), 6–8. https://doi.org/10.1108/LHTN-10-2023-0189
Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023). ChatGPT and a new academic reality: artificial intelligence-written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology, 74(5), 570–581. https://doi.org/10.1002/asi.24750
Minaee, S., Mikolov, T., Nikzad, N., Chenaghlu, M., Socher, R., Amatriain, X., & Gao, J. (2024). Large language models: a survey (versi 2). arXiv. https://doi.org/10.48550/ARXIV.2402.06196
Morandín-Ahuerma, F. (2022). What is artificial intelligence. International Journal of Research Publication and Reviews, 3(12), 1947–1951.
Ojala, M. (2024, April 11). Prompt engineering, librarianship, and information literacy. 4th Artificial Intelligence and Libraries Symposium, Santiago de Chile. https://bibliotecas.uchile.cl/congreso/programa/ponencias/dia_3/5_Prompt_engineering_librarianship.pdf
Open AI. (2024). Best practices for prompt engineering with the OpenAI API. OpenAI. https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api
Panda, S. (2024). Navigating knowledge: the role and evolution of the prompt librarian. Brazilian Journal of Development, 10(3), e68145. https://doi.org/10.34117/bjdv10n3-050
Pothen, A. S. (2022). Artificial intelligence and its increasing importance. Dalam Learning Outcomes of Classroom Research (hlm. 74–81). L’ Ordine Nuovo Publication. https://www.researchgate.net/publication/358058444_Artificial_Intelligence_and_its_Increasing_Importance
Savaria, E. (2024, November 20). Prompt engineering guide. Prompt Engineering Guide. https://www.promptingguide.ai/
Schulhof, S. (2024, Oktober 23). Prompt engineering guide: the ultimate guide to generative ai. Learn Prompting. https://learnprompting.org/docs/introduction
Statista Market Insights. (2024). Artificial intelligence—worldwide. Statista. https://www.statista.com/outlook/tmo/artificial-intelligence/worldwide
Statista Research Department. (2024). Number of artificial intelligence (AI) tool users globally from 2020 to 2030. Statista. https://www.statista.com/forecasts/1449844/ai-tool-users-worldwide
Sugiyono. (2016). Memahami penelitian kualitatif. Alfabeta.
Tecuci, G. (2012). Artificial intelligence. WIREs Computational Statistics, 4(2), 168–180. https://doi.org/10.1002/wics.200
White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., Elnashar, A., Spencer-Smith, J., & Schmidt, D. C. (2023). A prompt pattern catalog to enhance prompt engineering with ChatGPT (arXiv:2302.11382). arXiv. https://doi.org/10.48550/arXiv.2302.11382
Xiao, H. (2023). The impact and challenge of chatgpt on library work. dalam R. B. B. M. Hussain, J. Parc, & J. Li (Ed.), Proceedings of the 2023 9th international conference on humanities and social science research (ICHSSR 2023) (Vol. 765, hlm. 997–1003). Atlantis Press SARL. https://doi.org/10.2991/978-2-38476-092-3_122
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