{"id":2817,"date":"2026-06-02T18:02:39","date_gmt":"2026-06-02T16:02:39","guid":{"rendered":"https:\/\/www.visual61.com\/site\/?p=2817"},"modified":"2026-07-17T21:55:33","modified_gmt":"2026-07-17T19:55:33","slug":"afinament-fine-tuning","status":"publish","type":"post","link":"https:\/\/www.visual61.com\/site\/afinament-fine-tuning\/","title":{"rendered":"Afinament (fine-tuning)"},"content":{"rendered":"

L’afinament (fine-tuning en angl\u00e8s) \u00e9s el proc\u00e9s d’agafar un model d’IA ja entrenat i ajustar-lo amb dades espec\u00edfiques perqu\u00e8 funcioni millor en una tasca concreta.<\/p>\n<\/div>

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Qu\u00e8 \u00e9s exactament?<\/h2><\/div>

Entrenar un model des de zero costa molt\u00edssim temps i diners. L’afinament evita aquest problema: es parteix d’un model preentrenat generalista, com un LLM, i se li dona una segona ronda d’entrenament amb un conjunt de dades m\u00e9s petit i especialitzat. Aix\u00ed el model s’adapta a un sector, un to o un tipus de feina concret.<\/p>\n<\/div>

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Per a qu\u00e8 serveix?<\/h2><\/div>
    \n
  • Adaptar un model al vocabulari d’un sector concret<\/li>\n
  • Aconseguir un to de marca coherent<\/li>\n
  • Millorar la precisi\u00f3 en tasques repetitives<\/li>\n
  • Treballar amb dades pr\u00f2pies d’una empresa<\/li>\n<\/ul>\n<\/div>
    <\/div>

    Afinament, prompt o RAG?<\/h2><\/div>

    No sempre cal afinar un model. Sovint, escriure bons prompts o connectar el model a una base de dades externa (la t\u00e8cnica RAG) ja dona prou bons resultats i surt m\u00e9s barat. L’afinament t\u00e9 sentit quan necessites un comportament molt espec\u00edfic i constant. El TERMCAT proposa \u00abafinament\u00bb com a terme catal\u00e0 per a fine-tuning.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

    L’afinament (fine-tuning) \u00e9s el proc\u00e9s d’agafar un model d’IA ja entrenat i ajustar-lo amb dades espec\u00edfiques perqu\u00e8 rendeixi millor en una tasca concreta.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rank_math_title":"Afinament (Fine-Tuning) en IA: Qu\u00e8 \u00e9s | Visual61","rank_math_description":"L'afinament o fine-tuning \u00e9s el proc\u00e9s d'agafar un model d'IA ja entrenat i ajustar-lo amb dades espec\u00edfiques perqu\u00e8 rendeixi millor en una tasca concreta.","rank_math_focus_keyword":"fine-tuning","footnotes":""},"categories":[24],"tags":[56,37,38,48],"class_list":["post-2817","post","type-post","status-publish","format-standard","hentry","category-diccionari","tag-fine-tuning","tag-intelligencia-artificial","tag-llm","tag-machine-learning"],"_links":{"self":[{"href":"https:\/\/www.visual61.com\/site\/wp-json\/wp\/v2\/posts\/2817","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.visual61.com\/site\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.visual61.com\/site\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.visual61.com\/site\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.visual61.com\/site\/wp-json\/wp\/v2\/comments?post=2817"}],"version-history":[{"count":3,"href":"https:\/\/www.visual61.com\/site\/wp-json\/wp\/v2\/posts\/2817\/revisions"}],"predecessor-version":[{"id":3146,"href":"https:\/\/www.visual61.com\/site\/wp-json\/wp\/v2\/posts\/2817\/revisions\/3146"}],"wp:attachment":[{"href":"https:\/\/www.visual61.com\/site\/wp-json\/wp\/v2\/media?parent=2817"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.visual61.com\/site\/wp-json\/wp\/v2\/categories?post=2817"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.visual61.com\/site\/wp-json\/wp\/v2\/tags?post=2817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}