{"id":10786,"date":"2024-03-18T09:35:31","date_gmt":"2024-03-18T09:35:31","guid":{"rendered":"https:\/\/dailyai.com\/?p=10786"},"modified":"2024-03-28T09:35:17","modified_gmt":"2024-03-28T09:35:17","slug":"apple-reveals-mm1-its-first-family-of-multimodal-llms","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/03\/apple-reveals-mm1-its-first-family-of-multimodal-llms\/","title":{"rendered":"Apple lanserer MM1, sin f\u00f8rste familie av multimodale LLM-er"},"content":{"rendered":"

Apple har enn\u00e5 ikke offisielt lansert en AI-modell, men en ny forskningsrapport gir et innblikk i selskapets fremgang i utviklingen av modeller med toppmoderne multimodale evner.<\/strong><\/p>\n

Avisen<\/a>Den har tittelen \"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training\", introduserer Apples familie av MLLM-er kalt MM1.<\/p>\n

MM1 viser imponerende evner innen bildeteksting, visuell sp\u00f8rsm\u00e5lssvargivning (VQA) og naturlig spr\u00e5kinferens. Forskerne forklarer at n\u00f8ye valg av bilde-tekstpar gjorde det mulig for dem \u00e5 oppn\u00e5 overlegne resultater, spesielt i l\u00e6ringsscenarier med f\u00e5 bilder.<\/p>\n

Det som skiller MM1 fra andre MLLM-er, er dens overlegne evne til \u00e5 f\u00f8lge instruksjoner p\u00e5 tvers av flere bilder og til \u00e5 resonnere rundt de komplekse scenene den blir presentert for.<\/p>\n

MM1-modellene inneholder opptil 30B parametere, noe som er tre ganger s\u00e5 mye som GPT-4V, komponenten som gir OpenAIs GPT-4 sine synsfunksjoner.<\/p>\n

Her er noen eksempler p\u00e5 MM1s VQA-evner.<\/p>\n

\"\"
Tester MM1s evne til \u00e5 resonnere p\u00e5 tvers av bilder og tekster. Kilde: arXiv<\/figcaption><\/figure>\n

MM1 gjennomgikk en storstilt multimodal pretraining p\u00e5 \"et datasett med 500 millioner sammenflettede bilde-tekstdokumenter, som inneholder 1B bilder og 500B teksttokens\".<\/p>\n

Omfanget og mangfoldet i pretreningen gj\u00f8r det mulig for MM1 \u00e5 utf\u00f8re imponerende prediksjoner i kontekst og f\u00f8lge tilpasset formatering med et lite antall eksempler med f\u00e5 bilder. Her er eksempler p\u00e5 hvordan MM1 l\u00e6rer seg \u00f8nsket resultat og format fra bare tre eksempler.<\/p>\n

\"\"
MM1 kan telle objekter, utf\u00f8re OCR p\u00e5 bestemte omr\u00e5der av et bilde, bruke sunn fornuft p\u00e5 objekter og utf\u00f8re grunnleggende matematiske funksjoner. Kilde: arXiv<\/figcaption><\/figure>\n

For \u00e5 lage AI-modeller som kan \"se\" og resonnere, kreves det en syn-spr\u00e5k-kobling som oversetter bilder og spr\u00e5k til en enhetlig representasjon som modellen kan bruke til videre behandling.<\/p>\n

Forskerne fant ut at utformingen av syn-spr\u00e5k-koblingen var en mindre viktig faktor for MM1s ytelse. Interessant nok var det bildeoppl\u00f8sningen og antallet bildetokener som hadde st\u00f8rst innvirkning.<\/p>\n

Det er interessant \u00e5 se hvor \u00e5pne Apple har v\u00e6rt n\u00e5r det gjelder \u00e5 dele forskningen sin med det bredere AI-fellesskapet. Forskerne skriver at \"i denne artikkelen dokumenterer vi prosessen med \u00e5 bygge MLLM og fors\u00f8ker \u00e5 formulere designleksjoner som vi h\u00e5per kan v\u00e6re til nytte for samfunnet.\"<\/p>\n

De publiserte resultatene vil sannsynligvis v\u00e6re retningsgivende for andre MMLM-utviklere n\u00e5r det gjelder valg av arkitektur og data for forh\u00e5ndstrening.<\/p>\n

N\u00f8yaktig hvordan MM1-modeller vil bli implementert i Apples produkter gjenst\u00e5r \u00e5 se. De publiserte eksemplene p\u00e5 MM1s evner antyder at Siri vil bli mye smartere n\u00e5r hun etter hvert l\u00e6rer seg \u00e5 se.<\/p>","protected":false},"excerpt":{"rendered":"

Apple har enn\u00e5 ikke offisielt lansert en AI-modell, men en ny forskningsrapport gir et innblikk i selskapets arbeid med \u00e5 utvikle modeller med avanserte multimodale evner. Artikkelen, med tittelen \"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training\", introduserer Apples familie av MLLM-er kalt MM1. MM1 viser imponerende evner innen bildeteksting, visuell sp\u00f8rsm\u00e5lssvar (VQA) og naturlig spr\u00e5kinferens. Forskerne forklarer at n\u00f8ye valg av bilde-tekstpar gjorde det mulig for dem \u00e5 oppn\u00e5 overlegne resultater, spesielt i l\u00e6ringsscenarier med f\u00e5 bilder. Det som skiller MM1 fra andre MLLM-er, er dens overlegne evne til \u00e5 f\u00f8lge instruksjoner p\u00e5 tvers av flere bilder og<\/p>","protected":false},"author":6,"featured_media":10790,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[126,166],"class_list":["post-10786","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-apple","tag-computer-vision"],"yoast_head":"\nApple reveals MM1, its first family of multimodal LLMs | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nb\/2024\/03\/apple-reveals-mm1-its-first-family-of-multimodal-llms\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Apple reveals MM1, its first family of multimodal LLMs | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Apple is yet to officially release an AI model, but a new research paper gives an insight into the company\u2019s progress in developing models with state-of-the-art multimodal capabilities. 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