Mistä yleisen tekoälyn tunnistaa? yleinen tekoäly ja suuret kielimallit

Yleistä tekoälyä on vaikea määritellä yksiselitteisesti, mutta yksinkertaisimmillaan se voidaan käsittää vastakohtana niin sanotulle kapealle tekoälylle. Yleiselle tekoälylle on esitetty lukuisia erilaisia määritelmiä ja kriteerejä, mutta jotkin ominaisuudet yhdistetään älykkyyteen useammin kuin toi...

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Bibliografiset tiedot
Päätekijä: Suksi, Antti-Jussi
Muut tekijät: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Kandityö
Kieli:fin
Julkaistu: 2025
Aiheet:
Linkit: https://jyx.jyu.fi/handle/123456789/101988
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author Suksi, Antti-Jussi
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Suksi, Antti-Jussi Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Suksi, Antti-Jussi Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Suksi, Antti-Jussi
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description Yleistä tekoälyä on vaikea määritellä yksiselitteisesti, mutta yksinkertaisimmillaan se voidaan käsittää vastakohtana niin sanotulle kapealle tekoälylle. Yleiselle tekoälylle on esitetty lukuisia erilaisia määritelmiä ja kriteerejä, mutta jotkin ominaisuudet yhdistetään älykkyyteen useammin kuin toiset. Tyypillisesti tärkeinä kykyinä nähdään muun muassa ongelmanratkaisu, tavoitteiden saavuttaminen, oppiminen, yleistäminen ja vuorovaikutus. Suuret kielimallit vaikuttavat täyttävän useita yleiselle tekoälylle esitetyistä kriteereistä, mutta ne tekevät myös monenlaisia alkeellisia ja omituisia virheitä. Artificial general intelligence (AGI) is a concept that is difficult to define unambiguously, but at its simplest it can be understood as the opposite of so-called narrow artificial intelligence. Numerous definitions and criteria have been proposed for artificial general intelligence, but some qualities are more commonly attributed to intelligence than others. Abilities such as problem-solving, achieving goals, learning, generalizing and interacting are typically seen as important. Large language models seem to meet many of the criteria that are suggested for AGI, but they also exhibit a variety of basic and peculiar errors.
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spellingShingle Suksi, Antti-Jussi Mistä yleisen tekoälyn tunnistaa? : yleinen tekoäly ja suuret kielimallit yleinen tekoäly Tietotekniikka Mathematical Information Technology kielimallit kriteerit määritelmät tekoäly älykkyys koneoppiminen
title Mistä yleisen tekoälyn tunnistaa? : yleinen tekoäly ja suuret kielimallit
title_full Mistä yleisen tekoälyn tunnistaa? : yleinen tekoäly ja suuret kielimallit
title_fullStr Mistä yleisen tekoälyn tunnistaa? : yleinen tekoäly ja suuret kielimallit Mistä yleisen tekoälyn tunnistaa? : yleinen tekoäly ja suuret kielimallit
title_full_unstemmed Mistä yleisen tekoälyn tunnistaa? : yleinen tekoäly ja suuret kielimallit Mistä yleisen tekoälyn tunnistaa? : yleinen tekoäly ja suuret kielimallit
title_short Mistä yleisen tekoälyn tunnistaa?
title_sort mistä yleisen tekoälyn tunnistaa yleinen tekoäly ja suuret kielimallit
title_sub yleinen tekoäly ja suuret kielimallit
title_txtP Mistä yleisen tekoälyn tunnistaa? : yleinen tekoäly ja suuret kielimallit
topic yleinen tekoäly Tietotekniikka Mathematical Information Technology kielimallit kriteerit määritelmät tekoäly älykkyys koneoppiminen
topic_facet Mathematical Information Technology Tietotekniikka kielimallit koneoppiminen kriteerit määritelmät tekoäly yleinen tekoäly älykkyys
url https://jyx.jyu.fi/handle/123456789/101988 http://www.urn.fi/URN:NBN:fi:jyu-202505144229
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