@prefix p66: <http://data.loterre.fr/ark:/67375/P66> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix isothes: <http://purl.org/iso25964/skos-thes#> .
@prefix inist: <http://www.inist.fr/Ontology#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix uneskos: <http://purl.org/umu/uneskos#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

p66:-Linguistique__Sciences_du_langage
  skos:prefLabel "Linguistique / Sciences du langage"@fr, "Linguistics"@en ;
  a isothes:ConceptGroup ;
  skos:member p66:-PFGD1180-S .

p66:-FVD859VK-N
  skos:prefLabel "modèle de langue"@fr, "language model"@en ;
  a skos:Concept ;
  skos:narrower p66:-PFGD1180-S .

p66:-XCCLZSQ5-8
  skos:prefLabel "transformeur"@fr, "transformer"@en ;
  a skos:Concept ;
  skos:related p66:-PFGD1180-S .

p66:-Informatique
  skos:prefLabel "Informatics"@en, "Informatique"@fr ;
  a isothes:ConceptGroup ;
  skos:member p66:-PFGD1180-S .

p66:-PFGD1180-S
  inist:isModelOf p66:-L02857LC-7 ;
  skos:prefLabel "large language model"@en, "grand modèle de langue"@fr ;
  dc:bibliographicCitation """<span class ="replaced2">	•	 Hussain, Z., Binz, M., Mata, R., & Wulff, D. U. (2024). A tutorial on open-source large language models for behavioral science. Behavior Research Methods, 56(8), 8214–8237.  <a href="https://doi.org/10.3758/s13428-024-02455-8">https://doi.org/10.3758/s13428-024-02455-8</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">tutoriel</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">ouvert</span></p>"""@fr, """<span class ="replaced2">	•	 van Genugten, R. D. I., & Schacter, D. L. (2024). Automated scoring of the autobiographical interview with natural language processing. Behavior Research Methods, 56(3), 2243–2259.  <a href="https://doi.org/10.3758/s13428-023-02145-x">https://doi.org/10.3758/s13428-023-02145-x</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">étude empirique</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">ouvert</span></p>"""@fr, """<span class ="replaced2">	•	 Hussain, Z., Binz, M., Mata, R., & Wulff, D. U. (2024). A tutorial on open-source large language models for behavioral science. Behavior Research Methods, 56(8), 8214–8237.  <a href="https://doi.org/10.3758/s13428-024-02455-8">https://doi.org/10.3758/s13428-024-02455-8</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">tutorial</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">open</span></p>"""@en, """<span class ="replaced2">	•	 Raiaan, M. A. K., Mukta, Md. S. H., Fatema, K., Fahad, N. M., Sakib, S., Mim, M. M. J., Ahmad, J., Ali, M. E., & Azam, S. (2024). A review on large language models: Architectures, applications, taxonomies, open issues and challenges. IEEE Access, 12, 26839–26874.  <a href="https://doi.org/10.1109/ACCESS.2024.3365742">https://doi.org/10.1109/ACCESS.2024.3365742</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">revue de la littérature</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">ouvert</span></p>"""@fr, """<span class ="replaced2">	•	 Abdurahman, S. (2024). Perils and opportunities in using large language models in psychological research. PNAS Nexus, 3(7), 1–11.  <a href="https://doi.org/10.1093/pnasnexus/pgae245">https://doi.org/10.1093/pnasnexus/pgae245</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">revue de la littérature</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">ouvert</span></p>"""@fr, """<span class ="replaced2">	•	 Cuskley, C., Woods, R., & Flaherty, M. (2024). The limitations of large language models for understanding human language and cognition. Open Mind, 8, 1058–1083.  <a href="https://doi.org/10.1162/opmi_a_00160">https://doi.org/10.1162/opmi_a_00160</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">literature review</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">open</span></p>"""@en, """<span class ="replaced2">	•	 Cuskley, C., Woods, R., & Flaherty, M. (2024). The limitations of large language models for understanding human language and cognition. Open Mind, 8, 1058–1083.  <a href="https://doi.org/10.1162/opmi_a_00160">https://doi.org/10.1162/opmi_a_00160</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">revue de la littérature</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">ouvert</span></p>"""@fr, """<span class ="replaced2">	•	 Abdurahman, S. (2024). Perils and opportunities in using large language models in psychological research. PNAS Nexus, 3(7), 1–11.  <a href="https://doi.org/10.1093/pnasnexus/pgae245">https://doi.org/10.1093/pnasnexus/pgae245</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">literature review</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">open</span></p>"""@en, """<span class ="replaced2">	•	 Minaee, S., Mikolov, T., Nikzad, N., Chenaghlu, M., Socher, R., Amatriain, X., & Gao, J. (2024). Large language models: A survey (arXiv:2402.06196).  <a href="https://doi.org/10.48550/arXiv.2402.06196">https://doi.org/10.48550/arXiv.2402.06196</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">literature review</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">open</span></p>"""@en, """<span class ="replaced2">	•	 van Genugten, R. D. I., & Schacter, D. L. (2024). Automated scoring of the autobiographical interview with natural language processing. Behavior Research Methods, 56(3), 2243–2259.  <a href="https://doi.org/10.3758/s13428-023-02145-x">https://doi.org/10.3758/s13428-023-02145-x</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">empirical study</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">open</span></p>"""@en, """<span class ="replaced2">	•	 Raiaan, M. A. K., Mukta, Md. S. H., Fatema, K., Fahad, N. M., Sakib, S., Mim, M. M. J., Ahmad, J., Ali, M. E., & Azam, S. (2024). A review on large language models: Architectures, applications, taxonomies, open issues and challenges. IEEE Access, 12, 26839–26874.  <a href="https://doi.org/10.1109/ACCESS.2024.3365742">https://doi.org/10.1109/ACCESS.2024.3365742</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">literature review</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">open</span></p>"""@en, """<span class ="replaced2">	•	 Minaee, S., Mikolov, T., Nikzad, N., Chenaghlu, M., Socher, R., Amatriain, X., & Gao, J. (2024). Large language models: A survey (arXiv:2402.06196).  <a href="https://doi.org/10.48550/arXiv.2402.06196">https://doi.org/10.48550/arXiv.2402.06196</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">revue de la littérature</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">ouvert</span></p>"""@fr ;
  skos:definition "Modèle de langue basé principalement sur une architecture de type transformeur."@fr, "A language model that is mainly based on a transformer architecture."@en ;
  uneskos:memberOf p66:-Informatique, p66:-Linguistique__Sciences_du_langage ;
  skos:hiddenLabel "grands modèles de langage"@fr, "modèles massifs de langage"@fr, "grands modèles linguistiques"@fr, "grands modèle de langue"@fr, "LLMs"@en, "modèles de langage de grande taille"@fr ;
  skos:altLabel "LLM"@en, "grand modèle linguistique"@fr, "modèle massif de langage"@fr, "modèle de langage de grande taille"@fr, "grand modèle de language"@fr ;
  skos:exactMatch <https://doi.org/10.21428/e2759450.2bb20e3c>, <https://fr.wikipedia.org/wiki/Grand_mod%C3%A8le_de_langage>, <https://www.wikidata.org/wiki/Q115305900>, <https://en.wikipedia.org/wiki/Large_language_model> ;
  dc:creator "Frank Arnould"^^rdf:PlainLiteral ;
  skos:related p66:-BX50H77T-W, p66:-XCCLZSQ5-8 ;
  a skos:Concept ;
  skos:broader p66:-FVD859VK-N ;
  skos:inScheme p66: ;
  dc:modified "2024-09-05"^^xsd:date ;
  dc:created "2024-09-05"^^xsd:date .

p66: a skos:ConceptScheme .
p66:-BX50H77T-W
  skos:prefLabel "modèle connexionniste"@fr, "connectionist model"@en ;
  a skos:Concept ;
  skos:related p66:-PFGD1180-S .

p66:-L02857LC-7
  skos:prefLabel "mémoire sémantique"@fr, "semantic memory"@en ;
  a skos:Concept ;
  inist:hasModel p66:-PFGD1180-S .

