{"id":11187,"date":"2024-04-02T16:26:13","date_gmt":"2024-04-02T16:26:13","guid":{"rendered":"https:\/\/dailyai.com\/?p=11187"},"modified":"2024-04-04T05:59:53","modified_gmt":"2024-04-04T05:59:53","slug":"deepmind-develop-a-foundation-model-for-building-2d-game-environments","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/04\/deepmind-develop-a-foundation-model-for-building-2d-game-environments\/","title":{"rendered":"DeepMind utvikler en grunnmodell for \u00e5 bygge 2D-spillmilj\u00f8er"},"content":{"rendered":"

Google DeepMinds Genie er en generativ modell som oversetter enkle bilder eller tekstmeldinger til dynamiske, interaktive verdener.\u00a0<\/b><\/p>\n

Genie ble trent opp p\u00e5 et omfattende datasett med over 200 000 timer med videoopptak fra spill, inkludert spill fra 2D-plattformspill og robotinteraksjoner i den virkelige verden.\u00a0<\/span><\/p>\n

Dette enorme datasettet gjorde det mulig for Genie \u00e5 forst\u00e5 og generere fysikk, dynamikk og estetikk i en rekke milj\u00f8er og objekter.<\/span><\/p>\n

Den endelige modellen, dokumentert i en <\/span>forskningsoppgave<\/span><\/a>inneholder 11 milliarder parametere for \u00e5 generere interaktive virtuelle verdener fra enten bilder i flere formater eller tekstmeldinger.\u00a0<\/span><\/p>\n

Du kan alts\u00e5 mate Genie med et bilde av stuen eller hagen din og gj\u00f8re det om til et spillbart 2D-plattformniv\u00e5.<\/p>\n

Eller skrible et 2D-milj\u00f8 p\u00e5 et stykke papir og konvertere det til et spillbart spillmilj\u00f8.<\/p>\n

\"DeepMind
Genie kan fungere som et interaktivt milj\u00f8 som tar imot ulike instruksjoner, for eksempel genererte bilder eller h\u00e5ndtegnede skisser. Brukerne kan styre modellens utdata ved \u00e5 gi latente handlinger ved hvert tidstrinn, som Genie deretter bruker til \u00e5 generere neste bilde i sekvensen med 1 FPS. Kilde: DeepMind via ArXiv (\u00e5pen tilgang).<\/figcaption><\/figure>\n

Det som skiller Genie fra andre verdensmodeller, er muligheten til \u00e5 la brukerne samhandle med de genererte omgivelsene bilde for bilde.<\/span><\/p>\n

Nedenfor kan du for eksempel se hvordan Genie tar fotografier av virkelige milj\u00f8er og gj\u00f8r dem om til 2D-spillniv\u00e5er.<\/p>\n

\"DeepMind
Genie kan lage spillniv\u00e5er fra a) andre spillniv\u00e5er, b) h\u00e5ndtegnede skisser og c) fotografier av virkelige milj\u00f8er. Se spillniv\u00e5ene (nederste rad) som er generert fra bilder fra den virkelige verden (\u00f8verste rad). Kilde: DeepMind: DeepMind.<\/figcaption><\/figure>\n

Slik fungerer Genie<\/h2>\n

Genie er en \"grunnverdensmodell\" med tre n\u00f8kkelkomponenter: en spatiotemporal videotokenizer, en autoregressiv dynamikkmodell og en enkel, skalerbar latent handlingsmodell (LAM).<\/span><\/p>\n

Slik fungerer det:<\/span><\/p>\n

    \n
  1. Spatiotemporale transformatorer<\/b>: Sentralt i Genie st\u00e5r spatiotemporale (ST) transformatorer, som behandler sekvenser av videobilder. I motsetning til tradisjonelle transformatorer som h\u00e5ndterer tekst eller statiske bilder, er ST-transformatorer utviklet for \u00e5 forst\u00e5 utviklingen av visuelle data over tid, noe som gj\u00f8r dem ideelle for generering av video og dynamiske milj\u00f8er.<\/span><\/li>\n
  2. Latent handlingsmodell (LAM)<\/b>: Genie forst\u00e5r og forutser handlinger i de genererte verdenene ved hjelp av LAM. Den utleder de potensielle handlingene som kan forekomme mellom bildene i en video, og l\u00e6rer seg et sett med \"latente handlinger\" direkte fra de visuelle dataene. Dette gj\u00f8r det mulig for Genie \u00e5 kontrollere hendelsesforl\u00f8pet i interaktive milj\u00f8er, til tross for at det ikke finnes eksplisitte handlingsetiketter i oppl\u00e6ringsdataene.<\/span><\/li>\n
  3. Video tokenizer og dynamikkmodell<\/b>: For \u00e5 h\u00e5ndtere videodata bruker Genie en videotokenizer som komprimerer r\u00e5 videobilder til et mer h\u00e5ndterbart format med diskrete tokens. Etter tokeniseringen forutser dynamikkmodellen neste sett med bildetokener, og genererer p\u00e5f\u00f8lgende bilder i det interaktive milj\u00f8et.<\/span><\/li>\n<\/ol>\n

    DeepMind-teamet forklarte om Genie: \"Genie kan gj\u00f8re det mulig for et stort antall mennesker \u00e5 generere sine egne spill-lignende opplevelser.<\/span> Dette kan v\u00e6re positivt for dem som \u00f8nsker \u00e5 uttrykke kreativiteten sin p\u00e5 en ny m\u00e5te, for eksempel barn som kan designe og tre inn i sine egne fantasiverdener.\"<\/span><\/p>\n

    I et sideeksperiment, der Genie ble presentert for videoer av ekte robotarmer som h\u00e5ndterte objekter i den virkelige verden, viste den en forbl\u00f8ffende evne til \u00e5 tyde handlingene disse armene kunne utf\u00f8re. Dette viser potensielle bruksomr\u00e5der innen robotforskning.\u00a0<\/span><\/p>\n

    Tim Rockt\u00e4schel fra Genie-teamet beskrev Genies ubegrensede potensial: \"Det er vanskelig \u00e5 forutsi hvilke bruksomr\u00e5der som vil bli muliggjort. <\/span>Vi h\u00e5per at prosjekter som Genie etter hvert vil gi folk nye verkt\u00f8y for \u00e5 uttrykke kreativiteten sin.\"\u00a0<\/span><\/p>\n

    DeepMind var klar over risikoen ved \u00e5 offentliggj\u00f8re denne grunnmodellen, og skrev i artikkelen: \"Vi har valgt \u00e5 ikke offentliggj\u00f8re sjekkpunktene for den trente modellen, modellens treningsdatasett eller eksempler fra disse dataene som f\u00f8lger med denne artikkelen eller nettstedet.\"<\/p>\n

    \"Vi vil gjerne ha muligheten til \u00e5 engasjere oss ytterligere i forskningsmilj\u00f8et (og videospillmilj\u00f8et) og s\u00f8rge for at alle fremtidige utgivelser av denne typen er respektfulle, trygge og ansvarlige.\"<\/p>\n

    Bruk av spill for \u00e5 simulere virkelige applikasjoner<\/h2>\n

    DeepMind har brukt videospill til flere maskinl\u00e6ringsprosjekter.\u00a0<\/span><\/p>\n

    For eksempel i 2021, DeepMind bygget XLand<\/a>En virtuell lekeplass for testing av metoder for forsterkningsl\u00e6ring (RL) for generalistiske AI-agenter. Her mestret AI-modeller samarbeid og probleml\u00f8sning ved \u00e5 utf\u00f8re oppgaver som \u00e5 flytte hindringer i \u00e5pne spillmilj\u00f8er.\u00a0<\/span><\/p>\n

    S\u00e5, bare forrige m\u00e5ned, SIMA<\/a> (Scalable, Instructable, Multiworld Agent) ble utviklet for \u00e5 forst\u00e5 og utf\u00f8re menneskelige spr\u00e5kinstruksjoner p\u00e5 tvers av ulike spill og scenarier.\u00a0<\/span><\/p>\n

    SIMA ble trent opp ved hjelp av ni videospill som krevde ulike ferdigheter, fra grunnleggende navigasjon til styring av kj\u00f8ret\u00f8y.\u00a0<\/span><\/p>\n

    Spillmilj\u00f8er tilbyr en kontrollerbar, skalerbar sandkasse for oppl\u00e6ring og testing av AI-modeller.<\/p>\n

    DeepMinds ekspertise innen spilling strekker seg tilbake til 2014-2015, da de utviklet en algoritme for \u00e5 sl\u00e5 mennesker i spill som Pong og Space Invaders, for ikke \u00e5 snakke om AlphaGo, som beseiret proffspilleren Fan Hui p\u00e5 et 19\u00d719 brett i full st\u00f8rrelse.<\/p>","protected":false},"excerpt":{"rendered":"

    Google DeepMinds Genie er en generativ modell som oversetter enkle bilder eller tekstmeldinger til dynamiske, interaktive verdener. Genie ble trent opp p\u00e5 et omfattende datasett med over 200 000 timer med videoopptak fra spill, inkludert spill fra 2D-plattformspill og interaksjoner med roboter i den virkelige verden. Dette enorme datasettet gjorde det mulig for Genie \u00e5 forst\u00e5 og generere fysikk, dynamikk og estetikk i en rekke milj\u00f8er og objekter. Den ferdige modellen, som er dokumentert i en forskningsartikkel, inneholder 11 milliarder parametere for \u00e5 generere interaktive virtuelle verdener fra enten bilder i flere formater eller tekstmeldinger. Du kan alts\u00e5 mate Genie med et bilde av stuen eller hagen din<\/p>","protected":false},"author":2,"featured_media":11190,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[147,169],"class_list":["post-11187","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-deepmind","tag-robotics"],"yoast_head":"\nDeepMind develop a foundation model for building 2D game environments | DailyAI<\/title>\n<meta name=\"description\" content=\"Google DeepMind's Genie is a generative model that translates simple images or text prompts into dynamic, interactive worlds.\u00a0\" \/>\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\/04\/deepmind-develop-a-foundation-model-for-building-2d-game-environments\/\" \/>\n<meta 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