{"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\/da\/2024\/04\/deepmind-develop-a-foundation-model-for-building-2d-game-environments\/","title":{"rendered":"DeepMind udvikler en grundmodel til at bygge 2D-spilmilj\u00f8er"},"content":{"rendered":"

Google DeepMinds Genie er en generativ model, der overs\u00e6tter enkle billeder eller tekstbeskeder til dynamiske, interaktive verdener.\u00a0<\/b><\/p>\n

Genie blev tr\u00e6net p\u00e5 et omfattende datas\u00e6t med over 200.000 timers in-game videooptagelser, herunder gameplay fra 2D-platforme og robotinteraktioner i den virkelige verden.\u00a0<\/span><\/p>\n

Dette enorme datas\u00e6t gjorde det muligt for Genie at forst\u00e5 og generere fysikken, dynamikken og \u00e6stetikken i mange milj\u00f8er og objekter.<\/span><\/p>\n

Den f\u00e6rdige model, dokumenteret i en <\/span>forskningsartikel<\/span><\/a>indeholder 11 milliarder parametre til at generere interaktive virtuelle verdener ud fra enten billeder i forskellige formater eller tekstprompter.\u00a0<\/span><\/p>\n

S\u00e5 du kan fodre Genie med et billede af din stue eller have og forvandle det til et spilbart 2D-platformniveau.<\/p>\n

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

\"DeepMind
Genie kan fungere som et interaktivt milj\u00f8, der accepterer forskellige beskeder som f.eks. genererede billeder eller h\u00e5ndtegnede skitser. Brugerne kan styre modellens output ved at give latente handlinger ved hvert tidstrin, som Genie derefter bruger til at generere det n\u00e6ste billede i sekvensen ved 1 FPS. Kilde: DeepMind via ArXiv (\u00e5ben adgang).<\/figcaption><\/figure>\n

Det, der adskiller Genie fra andre verdensmodeller, er dens evne til at give brugerne mulighed for at interagere med de genererede milj\u00f8er p\u00e5 en ramme-for-ramme-basis.<\/span><\/p>\n

Nedenfor kan du f.eks. se, hvordan Genie tager fotografier af virkelige milj\u00f8er og omdanner dem til 2D-spilniveauer.<\/p>\n

\"DeepMind
Genie kan skabe spilniveauer ud fra a) andre spilniveauer, b) h\u00e5ndtegnede skitser og c) fotografier af virkelige milj\u00f8er. Se spilniveauerne (nederste r\u00e6kke) genereret ud fra billeder fra den virkelige verden (\u00f8verste r\u00e6kke). Kilde: DeepMind: DeepMind.<\/figcaption><\/figure>\n

S\u00e5dan fungerer Genie<\/h2>\n

Genie er en \"grundl\u00e6ggende verdensmodel\" med tre n\u00f8glekomponenter: en spatiotemporal videotokenizer, en autoregressiv dynamikmodel og en enkel, skalerbar latent handlingsmodel (LAM).<\/span><\/p>\n

S\u00e5dan her fungerer det:<\/span><\/p>\n

    \n
  1. Spatiotemporale transformatorer<\/b>: Centralt i Genie er spatiotemporale (ST) transformere, som behandler sekvenser af videobilleder. I mods\u00e6tning til traditionelle transformere, der h\u00e5ndterer tekst eller statiske billeder, er ST-transformere designet til at forst\u00e5 udviklingen af visuelle data over tid, hvilket g\u00f8r dem ideelle til generering af video og dynamiske milj\u00f8er.<\/span><\/li>\n
  2. Latent handlingsmodel (LAM)<\/b>: Genie forst\u00e5r og forudsiger handlinger i sine genererede verdener ved hj\u00e6lp af LAM. Den udleder de potentielle handlinger, der kan forekomme mellem billederne i en video, og l\u00e6rer et s\u00e6t \"latente handlinger\" direkte fra de visuelle data. Det g\u00f8r det muligt for Genie at kontrollere udviklingen af begivenheder i interaktive milj\u00f8er, selv om der ikke findes eksplicitte handlingsetiketter i tr\u00e6ningsdataene.<\/span><\/li>\n
  3. Video tokenizer og dynamikmodel<\/b>: For at h\u00e5ndtere videodata anvender Genie en videotokenizer, der komprimerer r\u00e5 videoframes til et mere h\u00e5ndterbart format af diskrete tokens. Efter tokenisering forudsiger dynamikmodellen det n\u00e6ste s\u00e6t frame-tokens og genererer efterf\u00f8lgende frames i det interaktive milj\u00f8.<\/span><\/li>\n<\/ol>\n

    DeepMind-teamet forklarede om Genie: \"Genie kan g\u00f8re det muligt for en stor m\u00e6ngde mennesker at skabe deres egne spillignende oplevelser.<\/span> Det kan v\u00e6re positivt for dem, der \u00f8nsker at udtrykke deres kreativitet p\u00e5 en ny m\u00e5de, f.eks. b\u00f8rn, der kan designe og tr\u00e6de ind i deres egne fantasiverdener.\"<\/span><\/p>\n

    I et sideeksperiment, hvor Genie blev pr\u00e6senteret for videoer af rigtige robotarme, der arbejdede med virkelige objekter, viste den en uhyggelig evne til at afkode de handlinger, som disse arme kunne udf\u00f8re. Dette viser potentielle anvendelser inden for robotforskning.\u00a0<\/span><\/p>\n

    Tim Rockt\u00e4schel fra Genie-teamet beskrev Genies \u00e5bne potentiale: \"Det er sv\u00e6rt at forudsige, hvilke brugsscenarier der vil blive muliggjort. <\/span>Vi h\u00e5ber, at projekter som Genie i sidste ende vil give folk nye v\u00e6rkt\u00f8jer til at udtrykke deres kreativitet.\"\u00a0<\/span><\/p>\n

    DeepMind var bevidst om risikoen ved at frigive denne grundmodel og sagde i artiklen: \"Vi har valgt ikke at frigive den tr\u00e6nede models kontrolpunkter, modellens tr\u00e6ningsdatas\u00e6t eller eksempler fra disse data til at ledsage denne artikel eller hjemmesiden.\"<\/p>\n

    \"Vi vil gerne have mulighed for at engagere os yderligere i forskningssamfundet (og videospil) og sikre, at alle fremtidige udgivelser af denne art er respektfulde, sikre og ansvarlige.\"<\/p>\n

    Brug af spil til at simulere applikationer i den virkelige verden<\/h2>\n

    DeepMind har brugt videospil til flere maskinl\u00e6ringsprojekter.\u00a0<\/span><\/p>\n

    For eksempel i 2021, DeepMind byggede XLand<\/a>En virtuel legeplads til test af forst\u00e6rkningsl\u00e6ring (RL) for generalistiske AI-agenter. Her mestrede AI-modeller samarbejde og probleml\u00f8sning ved at udf\u00f8re opgaver som f.eks. at flytte forhindringer i \u00e5bne spilmilj\u00f8er.\u00a0<\/span><\/p>\n

    Og s\u00e5 i sidste m\u00e5ned, SIMA<\/a> (Scalable, Instructable, Multiworld Agent) blev designet til at forst\u00e5 og udf\u00f8re menneskelige sproginstruktioner p\u00e5 tv\u00e6rs af forskellige spil og scenarier.\u00a0<\/span><\/p>\n

    SIMA blev tr\u00e6net ved hj\u00e6lp af ni videospil, der kr\u00e6vede forskellige f\u00e6rdigheder, fra grundl\u00e6ggende navigation til styring af k\u00f8ret\u00f8jer.\u00a0<\/span><\/p>\n

    Spilmilj\u00f8er tilbyder en kontrollerbar, skalerbar sandkasse til tr\u00e6ning og test af AI-modeller.<\/p>\n

    DeepMinds spilekspertise str\u00e6kker sig tilbage til 2014-2015, hvor de udviklede en algoritme til at besejre mennesker i spil som Pong og Space Invaders, for ikke at n\u00e6vne AlphaGo, som besejrede den professionelle spiller Fan Hui p\u00e5 et 19\u00d719 br\u00e6t i fuld st\u00f8rrelse.<\/p>","protected":false},"excerpt":{"rendered":"

    Google DeepMinds Genie er en generativ model, der overs\u00e6tter enkle billeder eller tekstbeskeder til dynamiske, interaktive verdener. Genie blev tr\u00e6net p\u00e5 et omfattende datas\u00e6t med over 200.000 timers in-game videooptagelser, herunder gameplay fra 2D-platforme og robotinteraktioner i den virkelige verden. Dette store datas\u00e6t gjorde det muligt for Genie at forst\u00e5 og generere fysikken, dynamikken og \u00e6stetikken i mange milj\u00f8er og objekter. Den f\u00e6rdige model, som er dokumenteret i en forskningsartikel, indeholder 11 milliarder parametre til at generere interaktive virtuelle verdener ud fra enten billeder i forskellige formater eller tekstbeskeder. S\u00e5 du kan fodre Genie med et billede af din stue eller have<\/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\/da\/2024\/04\/deepmind-develop-a-foundation-model-for-building-2d-game-environments\/\" \/>\n<meta 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