@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .
<http://data.loterre.fr/ark:/67375/8LP-KNR5JVVC-Q>
  skos:example "The prompt engineering required is expensive and timeconsuming as it involves a human manually designing and testing beliefs. (Bauer, Mehrabi, Goyal, Chang, Galstyan & Gupta, 2024)"@en, "Despite several attempts at prompt engineering we did not manage to obtain extractive summaries from the model. (Maës, Boudraa, Blache & Becerra-Bonache, 2024)"@en, "In the future more detailed prompt engineering can potentially improve the personalization of generated CNs. (Doganç & Markov, 2023)"@en ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-LJBC6Z7V-H> ;
  skos:hiddenLabel "Prompt engineering"@en, "Ingénierie de l'invite"@fr ;
  a skos:Concept ;
  dc:modified "2024-10-10T15:00:18"^^xsd:dateTime ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  skos:definition "The process of creating natural language instructions, or prompts, to extract knowledge from [language models] in an organized manner. (Vatsal and Dubey. \"A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks\" (24 Jul 2024). Available at  <a href=\"https://doi.org/10.48550/arXiv.2407.12994\">https://doi.org/10.48550/arXiv.2407.12994</a> (Accessed on 10 Oct 2024))"@en ;
  skos:prefLabel "ingénierie de l'invite"@fr, "prompt engineering"@en .

<http://data.loterre.fr/ark:/67375/8LP-LJBC6Z7V-H>
  skos:prefLabel "intelligence artificielle"@fr, "artificial intelligence"@en ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-KNR5JVVC-Q> .