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[{"key": "dc.contributor.advisor", "value": "Tiihonen, Timo", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Haukka, Kimi", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2024-02-06T07:39:08Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2024-02-06T07:39:08Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2024", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/93266", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Teko\u00e4lyn ja koneoppimisen, erityisesti transformer-pohjaisten kielimallien, kehitys on mullistanut kieltenk\u00e4sittelyn. T\u00e4ss\u00e4 tutkielmassa tarkastelemme n\u00e4iden mallien kyky\u00e4 tuottaa ja ymm\u00e4rt\u00e4\u00e4 kielt\u00e4, keskittyen niiden oppimisprosesseihin ja kielen rakenteiden sis\u00e4ist\u00e4miseen. Tutkimme kuinka transformer-mallien 'self-attention-mekanismi' edist\u00e4\u00e4 tekstin syv\u00e4llist\u00e4 ymm\u00e4rryst\u00e4 ja kuinka n\u00e4m\u00e4 mallit kehitt\u00e4v\u00e4t kyky\u00e4 ennustaa tulevia sanoja ja lauseita, mik\u00e4 auttaa hahmottamaan kieliopillisia ja semanttisia rakenteita paremmin.\n\nTutkielmassa k\u00e4sitell\u00e4\u00e4n my\u00f6s, miss\u00e4 m\u00e4\u00e4rin n\u00e4iden mallien kielen ymm\u00e4rt\u00e4minen on aitoa ja miss\u00e4 m\u00e4\u00e4rin se perustuu vaikutelman luomiseen. Vaikka mallit ovat kehittyneit\u00e4, niiden kyky ymm\u00e4rt\u00e4\u00e4 kielt\u00e4 ei ole yht\u00e4 syv\u00e4llinen kuin ihmisen kyky ymm\u00e4rt\u00e4\u00e4 kielt\u00e4. Tutkielmassa korostetaan, ett\u00e4 n\u00e4iden mallien todellinen ymm\u00e4rryskyky j\u00e4\u00e4 rajoitetuksi, vaikka ne ovatkin kehittyneet tuottamaan teksti\u00e4, joka vaikuttaa ymm\u00e4rt\u00e4v\u00e4n kielt\u00e4.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "The development of artificial intelligence and machine learning, especially transformer-based language models, has revolutionized language processing. In this study, we examine the ability of these models to generate and understand language, focusing on their learning processes and the internalization of language structures. We explore how the 'self-attention mechanism' of transformer models contributes to a deep understanding of text and how these models develop the ability to predict future words and sentences, which helps in grasping grammatical and semantic structures better.\n\nThe study also addresses the extent to which the language understanding of these models is genuine and the extent to which it is based on creating an impression. Although the models are advanced, their ability to understand language is not as profound as the human ability to understand language. The study emphasizes that the real comprehension capability of these models remains limited, even though they have developed to produce text that appears to understand language.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2024-02-06T07:39:08Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2024-02-06T07:39:08Z (GMT). No. of bitstreams: 0\n Previous issue date: 2024", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "29", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "LLM", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "NLP", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Transformer-arkkitehtuuri", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Kuinka suuret kielimallit oppivat ymm\u00e4rt\u00e4m\u00e4\u00e4n ja tuottamaan kielt\u00e4?", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "bachelor thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202402061757", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Bachelor's thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Kandidaatinty\u00f6", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_7a1f", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "bachelorThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "602", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "teko\u00e4ly", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "neuroverkot", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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