<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0012-7353</journal-id>
<journal-title><![CDATA[DYNA]]></journal-title>
<abbrev-journal-title><![CDATA[Dyna rev.fac.nac.minas]]></abbrev-journal-title>
<issn>0012-7353</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0012-73532023000600009</article-id>
<article-id pub-id-type="doi">10.15446/dyna.v90n230.111700</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Prompt Engineering: a methodology for optimizing interactions with AI-Language Models in the field of engineering]]></article-title>
<article-title xml:lang="es"><![CDATA[Ingeniería de instrucciones: una metodología para optimizar interacciones con Modelos de Lenguaje de IA en el campo de ingeniería]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Velásquez-Henao]]></surname>
<given-names><![CDATA[Juan David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Franco-Cardona]]></surname>
<given-names><![CDATA[Carlos Jaime]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cadavid-Higuita]]></surname>
<given-names><![CDATA[Lorena]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de Colombia Facultad de Minas ]]></institution>
<addr-line><![CDATA[Medellín ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<volume>90</volume>
<numero>spe230</numero>
<fpage>9</fpage>
<lpage>17</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0012-73532023000600009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0012-73532023000600009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0012-73532023000600009&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract ChatGPT is a versatile conversational Artificial Intelligence model that responds to user input prompts, with applications in academia and various sectors. However, crafting effective prompts can be challenging, leading to potentially inaccurate or contextually inappropriate responses, emphasizing the importance of prompt engineering in achieving accurate outcomes across different domains. This study aims to address this void by introducing a methodology for optimizing interactions with Artificial Intelligence language models, like ChatGPT, through prompts in the field of engineering. The approach is called GPEI and relies on the latest advancements in this area; and consists of four steps: define the objective, design the prompt, evaluate the response, and iterate. Our proposal involves two key aspects: data inclusion in prompt design for engineering applications and the integration of Explainable Artificial Intelligence principles to assess responses, enhancing transparency. It combines insights from various methodologies to address issues like hallucinations, emphasizing iterative prompt refinement techniques like posing opposing questions and using specific patterns for improvement. This methodology could improve prompt precision and utility in engineering.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen ChatGPT es un modelo de Inteligencia Artificial conversacional versátil que responde a las indicaciones de entrada del usuario, con aplicaciones en el mundo académico y diversos sectores. Sin embargo, elaborar indicaciones efectivas puede ser un desafío, lo que lleva a respuestas potencialmente inexactas o contextualmente inapropiadas, lo que enfatiza la importancia de la ingeniería de instrucciones para lograr resultados precisos en diferentes dominios. Este estudio pretende abordar este vacío introduciendo una metodología para optimizar las interacciones con modelos de lenguaje de Inteligencia Artificial, como ChatGPT, a través de instrucciones en el campo de la ingeniería. El enfoque es llamado GPEI, y se basa en los últimos avances en esta área, el cual consta de cuatro pasos: definir el objetivo, diseñar el mensaje, evaluar la respuesta e iterar. Nuestra propuesta involucra dos aspectos clave: la inclusión de datos en el diseño rápido para aplicaciones de ingeniería y la integración de principios de Inteligencia Artificial Explicable para evaluar las respuestas, mejorando la transparencia. Combina conocimientos de varias metodologías para abordar problemas como las alucinaciones, enfatizando técnicas iterativas de refinamiento rápido, como plantear preguntas opuestas y usar patrones específicos para mejorar. Esta metodología podría mejorar la precisión y la utilidad rápidas en ingeniería.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[ChatGPT]]></kwd>
<kwd lng="en"><![CDATA[prompt engineering]]></kwd>
<kwd lng="en"><![CDATA[large language models]]></kwd>
<kwd lng="en"><![CDATA[prompt design]]></kwd>
<kwd lng="es"><![CDATA[ChatGPT]]></kwd>
<kwd lng="es"><![CDATA[ingeniería de instrucciones]]></kwd>
<kwd lng="es"><![CDATA[grandes modelos de lenguaje]]></kwd>
<kwd lng="es"><![CDATA[diseño de instrucciones]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lund]]></surname>
<given-names><![CDATA[B.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Mannuru]]></surname>
<given-names><![CDATA[N.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Nie]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Shimray]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[ChatGPT and a new academic reality: Artificial Intelligence-written research papers and the ethics of the large language models in scholarly publishing]]></article-title>
<source><![CDATA[J. Assoc. Inf. Sci. Technol.]]></source>
<year>2023</year>
<volume>74</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>570-81</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Macdonald]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Adeloye]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Sheikh]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Rudan]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Can ChatGPT draft a research article? An example of population-level vaccine effectiveness analysis]]></article-title>
<source><![CDATA[J. Glob. Health]]></source>
<year>2023</year>
<volume>13</volume>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rudolph]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Tan]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Tan]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[ChatGPT: bullshit spewer or the end of traditional assessments in higher education?]]></article-title>
<source><![CDATA[J. Appl. Learn. Teach.]]></source>
<year>2023</year>
<volume>6</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>342-63</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pavlik]]></surname>
<given-names><![CDATA[J.V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Collaborating with ChatGPT: considering the implications of generative artificial intelligence for journalism and media education, Journal]]></article-title>
<source><![CDATA[Mass Commun. Educ.]]></source>
<year>2023</year>
<volume>78</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>84-93</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jha]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Jha]]></surname>
<given-names><![CDATA[S.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Lincoln]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Bastian]]></surname>
<given-names><![CDATA[N.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Velasquez]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Neema]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Dehallucinating large language models using formal methods guided iterative prompting]]></source>
<year></year>
<conf-name><![CDATA[ 2023 IEEE International Conference on Assured Autonomy (ICAA)]]></conf-name>
<conf-date>2023</conf-date>
<conf-loc> </conf-loc>
<page-range>149-52</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Yuan]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Fu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Hayashi]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Neubig]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Pre-train, prompt, and predict: a systematic survey of prompting methods in natural language processing]]></article-title>
<source><![CDATA[ACM Comput. Surv.]]></source>
<year>2023</year>
<volume>55</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>1-35</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lo]]></surname>
<given-names><![CDATA[L.S.]]></given-names>
</name>
</person-group>
<source><![CDATA[The art and science of prompt engineering: a new literacy in the information age]]></source>
<year>2023</year>
<publisher-name><![CDATA[Ref. Serv. Q.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Giray]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prompt engineering with ChatGPT: a guide for academic writers]]></article-title>
<source><![CDATA[Ann. Biomed. Eng.]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[White]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[A prompt pattern catalog to enhance prompt engineering with chatgpt]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Busch]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Rochlitzer]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sola]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Leopold]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Just tell me: prompt engineering in business process management]]></source>
<year></year>
<conf-name><![CDATA[ International Conference on Business Process Modeling, Development and Support]]></conf-name>
<conf-date>2023</conf-date>
<conf-loc> </conf-loc>
<page-range>3-11</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lecler]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Duron]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Soander]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Revolutionizing radiologand with GPT-based models: current applications, future possibilities and limitations of ChatGPT, Diagn]]></article-title>
<source><![CDATA[Interv. Imaging]]></source>
<year>2023</year>
<volume>104</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>269-74</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Eandsenbach]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The role of ChatGPT, generative language models, and artificial intelligence in medical education: a conversation with ChatGPT and a call for papers]]></article-title>
<source><![CDATA[JMIR Med. Educ.]]></source>
<year>2023</year>
<volume>9</volume>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Terrand]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Cai]]></surname>
<given-names><![CDATA[C.J.]]></given-names>
</name>
</person-group>
<source><![CDATA[AI chains: transparent and controllable Human-AI interaction band chaining large language model prompts]]></source>
<year></year>
<conf-name><![CDATA[ Conference on Human Factors in Computing Sandstems - Proceedings]]></conf-name>
<conf-date>2022</conf-date>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Raand]]></surname>
<given-names><![CDATA[P.P.]]></given-names>
</name>
<name>
<surname><![CDATA[Majumder]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Assessing the Accuracand of responses band the language model ChatGPT to questions regarding bariatric surgerand: a critical appraisal]]></article-title>
<source><![CDATA[Obes. Surg.]]></source>
<year>2023</year>
<volume>33</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>2588-9</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gupta]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Herzog]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Weisberger]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chao]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chaiandasate]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[E.S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Utilization of ChatGPT for plastic surgerand research: friend or foe?]]></article-title>
<source><![CDATA[J. Plast. Reconstr. Aesthet. Surg.]]></source>
<year>2023</year>
<volume>80</volume>
<page-range>145-7</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Deiana]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Dettori]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Arghittu]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Azara]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Gabutti]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Castiglia]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence and public health: evaluating ChatGPT responses to vaccination mandths and misconceptions]]></article-title>
<source><![CDATA[Vaccines]]></source>
<year>2023</year>
<volume>11</volume>
<numero>7</numero>
<issue>7</issue>
</nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Corsello]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Santangelo]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Maand artificial intelligence influence future pediatric research?-The case of ChatGPT, children]]></source>
<year>2023</year>
<volume>10</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Eager]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Brunton]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prompting higher education towards AI-Augmented teaching and learning practice]]></article-title>
<source><![CDATA[J. Univ. Teach. Learn. Pract.]]></source>
<year>2023</year>
<volume>20</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lo]]></surname>
<given-names><![CDATA[L.S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The CLEAR path: a framework for enhancing information literacand through prompt engineering]]></article-title>
<source><![CDATA[J. Acad. Librariansh.]]></source>
<year>2023</year>
<volume>49</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dwivedi]]></surname>
<given-names><![CDATA[DK.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[So what if ChatGPT wrote it? Multidisciplinarand perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policand]]></article-title>
<source><![CDATA[Int. J. Inf. Manag.]]></source>
<year>2023</year>
<volume>71</volume>
</nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Harrer]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Attention is not all andou need: the complicated case of ethicalland using large language models in healthcare and medicine]]></article-title>
<source><![CDATA[eBioMedicine]]></source>
<year>2023</year>
<volume>90</volume>
</nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Crawford]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Cowling]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Allen]]></surname>
<given-names><![CDATA[K.-A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Leadership is needed for ethical ChatGPT: character, assessment, and learning using artificial intelligence (AI)]]></article-title>
<source><![CDATA[J. Univ. Teach. Learn. Pract.]]></source>
<year>2023</year>
<volume>20</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alexander]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Savvidou]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Alexander]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Who wrote this essaand? Detecting ai-generated writing in second language education in higher education]]></article-title>
<source><![CDATA[Teach. Engl. Technol.]]></source>
<year>2023</year>
<volume>23</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>25-43</page-range></nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lim]]></surname>
<given-names><![CDATA[W.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Gunasekara]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Pallant]]></surname>
<given-names><![CDATA[J.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Pallant]]></surname>
<given-names><![CDATA[J.I.]]></given-names>
</name>
<name>
<surname><![CDATA[Pechenkina]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators]]></article-title>
<source><![CDATA[Int. J. Manag. Educ.]]></source>
<year>2023</year>
<volume>21</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bilal]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Jamil]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Rana]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Shah]]></surname>
<given-names><![CDATA[H.H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Enhancing awareness and Self-diagnosis of obstructive sleep apnea using AI-Powered chatbots: the role of ChatGPT in revolutionizing healthcare]]></article-title>
<source><![CDATA[Ann. Biomed. Eng.]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Epstein]]></surname>
<given-names><![CDATA[R.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Dexter]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Variabilitand in large language Models' responses to medical licensing and certification examinations. comment on "How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment"]]></article-title>
<source><![CDATA[JMIR Med. Educ.]]></source>
<year>2023</year>
<volume>9</volume>
</nlm-citation>
</ref>
<ref id="B27">
<label>27</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marchandot]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Matsushita]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Carmona]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Trimaille]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Morel]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[ChatGPT: the next frontier in academic writing for cardiologists or a pandora's box of ethical dilemmas]]></article-title>
<source><![CDATA[Eur. Heart J. Open]]></source>
<year>2023</year>
<volume>3</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B28">
<label>28</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Graf]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Bernardi]]></surname>
<given-names><![CDATA[R.E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[ChatGPT in research: balancing ethics, transparencand and advancement]]></article-title>
<source><![CDATA[Neuroscience]]></source>
<year>2023</year>
<volume>515</volume>
<page-range>71-3</page-range></nlm-citation>
</ref>
<ref id="B29">
<label>29</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yan]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Impact of ChatGPT on learners in a L2 writing practicum: an exploratorand investigation]]></article-title>
<source><![CDATA[Educ. Inf. Technol.]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B30">
<label>30</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ruksakulpiwat]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ajibade]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Using ChatGPT in Medical research: current status and future directions]]></article-title>
<source><![CDATA[J. Multidiscip. Healthc.]]></source>
<year>2023</year>
<volume>16</volume>
<page-range>1513-20</page-range></nlm-citation>
</ref>
<ref id="B31">
<label>31</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Májovský]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[&#268;erný]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kasal]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Komarc]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Netuka]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence can generate fraudulent but authentic-looking scientific medical articles: pandora's box has been opened]]></article-title>
<source><![CDATA[J. Med. Internet Res.]]></source>
<year>2023</year>
<volume>25</volume>
</nlm-citation>
</ref>
<ref id="B32">
<label>32</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Spirling]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Whand open-source generative AI models are an ethical waand forward for science]]></article-title>
<source><![CDATA[nature]]></source>
<year>2023</year>
<volume>616</volume>
<numero>7957</numero>
<issue>7957</issue>
</nlm-citation>
</ref>
<ref id="B33">
<label>33</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[S.H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[OpenAI - explain whand some countries are excluded from ChatGPT]]></article-title>
<source><![CDATA[nature]]></source>
<year>2023</year>
<volume>615</volume>
<numero>7950</numero>
<issue>7950</issue>
</nlm-citation>
</ref>
<ref id="B34">
<label>34</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cooper]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Examining science education in ChatGPT: An exploratorand studand of generative artificial intelligence]]></article-title>
<source><![CDATA[J. Sci. Educ. Technol.]]></source>
<year>2023</year>
<volume>32</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>444-52</page-range></nlm-citation>
</ref>
<ref id="B35">
<label>35</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[E.Y.]]></given-names>
</name>
</person-group>
<source><![CDATA[Prompting large language models with the socratic method]]></source>
<year>2023</year>
<conf-name><![CDATA[ 2023 IEEE 13th Annual Computing and Communication Workshop and Conference]]></conf-name>
<conf-date>2023</conf-date>
<conf-loc> </conf-loc>
<page-range>351-60</page-range></nlm-citation>
</ref>
<ref id="B36">
<label>36</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Heston]]></surname>
<given-names><![CDATA[T.F.]]></given-names>
</name>
<name>
<surname><![CDATA[Khun]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prompt engineering in medical education]]></article-title>
<source><![CDATA[Int. Med. Educ.]]></source>
<year>2023</year>
<volume>2</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>198-205</page-range></nlm-citation>
</ref>
<ref id="B37">
<label>37</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yong]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Jeon]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Gil]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prompt engineering for zero-shot and few-shot defect detection and classification using a visual-language pretrained model]]></article-title>
<source><![CDATA[Comput.-Aided Civ. Infrastruct. Eng.]]></source>
<year>2023</year>
<volume>38</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>1536-54</page-range></nlm-citation>
</ref>
<ref id="B38">
<label>38</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bozkurt]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sharma]]></surname>
<given-names><![CDATA[R.C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generative AI and prompt engineering: the art of whispering to let the genie out of the algorithmic world]]></article-title>
<source><![CDATA[Asian J. Distance Educ.]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B39">
<label>39</label><nlm-citation citation-type="">
<collab>Elsevier</collab>
<source><![CDATA[Whand choose Scopus - Scopus benefits]]></source>
<year></year>
</nlm-citation>
</ref>
<ref id="B40">
<label>40</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shieh]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Best practices for prompt engineering with OpenAI API, OpenIA]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B41">
<label>41</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Tree of thoughts: deliberate problem solving with large language models]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B42">
<label>42</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Henrickson]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Meroño-Peñuela]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Prompting meaning: a hermeneutic approach to optimising prompt engineering with ChatGPT]]></source>
<year>2023</year>
<publisher-name><![CDATA[AI Soc]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B43">
<label>43</label><nlm-citation citation-type="">
<collab>Google</collab>
<source><![CDATA[&#8206;Bard - Chat based AI tool from Google, powered band PaLM 2]]></source>
<year></year>
</nlm-citation>
</ref>
<ref id="B44">
<label>44</label><nlm-citation citation-type="book">
<collab>Microsoft</collab>
<source><![CDATA[Your AI-Powered Copilot for the Web]]></source>
<year></year>
<publisher-name><![CDATA[Microsoft Bing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B45">
<label>45</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Spasic]]></surname>
<given-names><![CDATA[A.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jankovic]]></surname>
<given-names><![CDATA[D.S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Using ChatGPT standard prompt engineering techniques in lesson preparation: role, instructions and seed-word prompts]]></source>
<year></year>
<conf-name><![CDATA[ 2023 58th International Scientific Conference on Information, Communication and Energand Sandstems and Technologies, ICEST 2023 - Proceedings]]></conf-name>
<conf-date>2023</conf-date>
<conf-loc> </conf-loc>
<page-range>47-50</page-range></nlm-citation>
</ref>
<ref id="B46">
<label>46</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rudin]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Radin]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Whand are we using black box models in AI when we don't need to? A lesson from an explainable AI competition]]></article-title>
<source><![CDATA[Harv. Data Sci. Rev.]]></source>
<year>2019</year>
<volume>1.2</volume>
<page-range>9</page-range></nlm-citation>
</ref>
<ref id="B47">
<label>47</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Salkin]]></surname>
<given-names><![CDATA[H.M.]]></given-names>
</name>
<name>
<surname><![CDATA[De Kluandver]]></surname>
<given-names><![CDATA[C.A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The knapsack problem: a surveand]]></article-title>
<source><![CDATA[Nav. Res. Logist. Q.]]></source>
<year>1975</year>
<volume>22</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>127-44</page-range></nlm-citation>
</ref>
<ref id="B48">
<label>48</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bisong]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Bisong]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<source><![CDATA[Google Colaboratorand, en Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners]]></source>
<year>2019</year>
<page-range>59-64</page-range><publisher-name><![CDATA[Berkeleand, CA]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
