{"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\/sv\/2024\/04\/deepmind-develop-a-foundation-model-for-building-2d-game-environments\/","title":{"rendered":"DeepMind utvecklar en grundmodell f\u00f6r att bygga 2D-spelmilj\u00f6er"},"content":{"rendered":"

Google DeepMinds Genie \u00e4r en generativ modell som \u00f6vers\u00e4tter enkla bilder eller textmeddelanden till dynamiska, interaktiva v\u00e4rldar.\u00a0<\/b><\/p>\n

Genie tr\u00e4nades p\u00e5 ett omfattande dataset med \u00f6ver 200.000 timmar videofilmer fr\u00e5n spel, inklusive spel fr\u00e5n 2D-plattformarspel och robotinteraktioner i verkligheten.\u00a0<\/span><\/p>\n

Med hj\u00e4lp av denna stora datam\u00e4ngd kunde Genie f\u00f6rst\u00e5 och generera fysik, dynamik och estetik i m\u00e5nga olika milj\u00f6er och objekt.<\/span><\/p>\n

Den slutgiltiga modellen, dokumenterad i en <\/span>forskningsrapport<\/span><\/a>inneh\u00e5ller 11 miljarder parametrar f\u00f6r att generera interaktiva virtuella v\u00e4rldar fr\u00e5n antingen bilder i flera format eller textmeddelanden.\u00a0<\/span><\/p>\n

Du kan allts\u00e5 mata Genie med en bild av ditt vardagsrum eller din tr\u00e4dg\u00e5rd och f\u00f6rvandla den till en spelbar 2D-plattformsniv\u00e5.<\/p>\n

Eller klottra ner en 2D-milj\u00f6 p\u00e5 ett papper och omvandla den till en spelbar spelmilj\u00f6.<\/p>\n

\"DeepMind
Genie kan fungera som en interaktiv milj\u00f6 som tar emot olika uppmaningar, t.ex. genererade bilder eller handritade skisser. Anv\u00e4ndarna kan styra modellens utdata genom att tillhandah\u00e5lla latenta \u00e5tg\u00e4rder vid varje tidssteg, som Genie sedan anv\u00e4nder f\u00f6r att generera n\u00e4sta bild i sekvensen med 1 FPS. K\u00e4lla: DeepMind via ArXiv DeepMind via ArXiv (\u00f6ppen tillg\u00e5ng).<\/figcaption><\/figure>\n

Det som skiljer Genie fr\u00e5n andra v\u00e4rldsmodeller \u00e4r m\u00f6jligheten att l\u00e5ta anv\u00e4ndarna interagera med de genererade milj\u00f6erna p\u00e5 en ram-f\u00f6r-ram-basis.<\/span><\/p>\n

Nedan kan du till exempel se hur Genie tar fotografier av verkliga milj\u00f6er och f\u00f6rvandlar dem till 2D-spelniv\u00e5er.<\/p>\n

\"DeepMind
Genie kan skapa spelniv\u00e5er fr\u00e5n a) andra spelniv\u00e5er, b) handritade skisser och c) fotografier av verkliga milj\u00f6er. Se spelniv\u00e5erna (nedre raden) som genererats fr\u00e5n verkliga bilder (\u00f6vre raden). K\u00e4lla: DeepMind: DeepMind.<\/figcaption><\/figure>\n

Hur Genie fungerar<\/h2>\n

Genie \u00e4r en \"grundl\u00e4ggande v\u00e4rldsmodell\" med tre nyckelkomponenter: en spatiotemporal videotokenizer, en autoregressiv dynamikmodell och en enkel, skalbar latent handlingsmodell (LAM).<\/span><\/p>\n

S\u00e5 h\u00e4r fungerar det:<\/span><\/p>\n

    \n
  1. Spatiotemporala transformatorer<\/b>: Centralt i Genie \u00e4r spatiotemporala (ST) transformatorer, som bearbetar sekvenser av videobilder. Till skillnad fr\u00e5n traditionella transformatorer som hanterar text eller statiska bilder \u00e4r ST-transformatorer utformade f\u00f6r att f\u00f6rst\u00e5 hur visuella data utvecklas \u00f6ver tiden, vilket g\u00f6r dem idealiska f\u00f6r generering av video och dynamiska milj\u00f6er.<\/span><\/li>\n
  2. Latent handlingsmodell (LAM)<\/b>: Genie f\u00f6rst\u00e5r och f\u00f6rutser handlingar i sina genererade v\u00e4rldar genom LAM. Den drar slutsatser om de potentiella \u00e5tg\u00e4rder som kan intr\u00e4ffa mellan bildrutorna i en video och l\u00e4r sig en upps\u00e4ttning \"latenta \u00e5tg\u00e4rder\" direkt fr\u00e5n de visuella data. Detta g\u00f6r det m\u00f6jligt f\u00f6r Genie att styra h\u00e4ndelsef\u00f6rloppet i interaktiva milj\u00f6er, trots att det inte finns n\u00e5gra explicita handlingsetiketter i tr\u00e4ningsdatan.<\/span><\/li>\n
  3. Tokenizer och dynamikmodell f\u00f6r video<\/b>: F\u00f6r att hantera videodata anv\u00e4nder Genie en videotokenizer som komprimerar r\u00e5a videobilder till ett mer hanterbart format av diskreta tokens. Efter tokeniseringen f\u00f6rutsp\u00e5r dynamikmodellen n\u00e4sta upps\u00e4ttning bildtokens, vilket genererar efterf\u00f6ljande bildrutor i den interaktiva milj\u00f6n.<\/span><\/li>\n<\/ol>\n

    DeepMind-teamet f\u00f6rklarade om Genie: \"Genie kan g\u00f6ra det m\u00f6jligt f\u00f6r en stor m\u00e4ngd m\u00e4nniskor att skapa sina egna spelliknande upplevelser.<\/span> Detta kan vara positivt f\u00f6r dem som vill uttrycka sin kreativitet p\u00e5 ett nytt s\u00e4tt, till exempel barn som kan designa och kliva in i sina egna f\u00f6rest\u00e4llningsv\u00e4rldar.\"<\/span><\/p>\n

    I ett sidoexperiment, n\u00e4r Genie presenterades f\u00f6r videor av riktiga robotarmar som hanterade verkliga f\u00f6rem\u00e5l, visade han en kuslig f\u00f6rm\u00e5ga att tyda de \u00e5tg\u00e4rder som dessa armar kunde utf\u00f6ra. Detta visar p\u00e5 potentiella anv\u00e4ndningsomr\u00e5den inom robotikforskning.\u00a0<\/span><\/p>\n

    Tim Rockt\u00e4schel fr\u00e5n Genie-teamet beskrev Genies \u00f6ppna potential: \"Det \u00e4r sv\u00e5rt att f\u00f6rutse vilka anv\u00e4ndningsomr\u00e5den som kommer att bli m\u00f6jliga. <\/span>Vi hoppas att projekt som Genie s\u00e5 sm\u00e5ningom kommer att ge m\u00e4nniskor nya verktyg f\u00f6r att uttrycka sin kreativitet.\"\u00a0<\/span><\/p>\n

    DeepMind var medvetna om riskerna med att sl\u00e4ppa den h\u00e4r grundmodellen och skrev i rapporten: \"Vi har valt att inte sl\u00e4ppa kontrollpunkterna f\u00f6r den tr\u00e4nade modellen, modellens tr\u00e4ningsdataset eller exempel fr\u00e5n dessa data f\u00f6r att f\u00f6lja med den h\u00e4r rapporten eller webbplatsen.\"<\/p>\n

    \"Vi skulle vilja ha m\u00f6jlighet att ytterligare engagera oss i forskningsv\u00e4rlden (och videospelv\u00e4rlden) och se till att alla framtida s\u00e5dana utgivningar \u00e4r respektfulla, s\u00e4kra och ansvarsfulla.\"<\/p>\n

    Anv\u00e4nda spel f\u00f6r att simulera verkliga till\u00e4mpningar<\/h2>\n

    DeepMind har anv\u00e4nt videospel f\u00f6r flera maskininl\u00e4rningsprojekt.\u00a0<\/span><\/p>\n

    Till exempel under 2021, DeepMind byggde XLand<\/a>, en virtuell lekplats f\u00f6r att testa metoder f\u00f6r f\u00f6rst\u00e4rkningsinl\u00e4rning (RL) f\u00f6r generalistiska AI-agenter. H\u00e4r beh\u00e4rskade AI-modeller samarbete och probleml\u00f6sning genom att utf\u00f6ra uppgifter som att flytta hinder i \u00f6ppna spelmilj\u00f6er.\u00a0<\/span><\/p>\n

    Och s\u00e5 f\u00f6rra m\u00e5naden.., SIMA<\/a> (Scalable, Instructable, Multiworld Agent) utformades f\u00f6r att f\u00f6rst\u00e5 och utf\u00f6ra instruktioner p\u00e5 m\u00e4nskligt spr\u00e5k i olika spel och scenarier.\u00a0<\/span><\/p>\n

    SIMA tr\u00e4nades med hj\u00e4lp av nio videospel som kr\u00e4vde olika f\u00e4rdigheter, fr\u00e5n grundl\u00e4ggande navigering till att styra fordon.\u00a0<\/span><\/p>\n

    Spelmilj\u00f6er erbjuder en kontrollerbar och skalbar sandl\u00e5da f\u00f6r tr\u00e4ning och testning av AI-modeller.<\/p>\n

    DeepMinds spelexpertis str\u00e4cker sig till 2014-2015, d\u00e5 de utvecklade en algoritm f\u00f6r att besegra m\u00e4nniskor i spel som Pong och Space Invaders, f\u00f6r att inte tala om AlphaGo, som besegrade proffsspelaren Fan Hui p\u00e5 ett fullstort 19\u00d719-br\u00e4de.<\/p>","protected":false},"excerpt":{"rendered":"

    Google DeepMinds Genie \u00e4r en generativ modell som \u00f6vers\u00e4tter enkla bilder eller textmeddelanden till dynamiska, interaktiva v\u00e4rldar. Genie tr\u00e4nades p\u00e5 ett omfattande dataset med \u00f6ver 200 000 timmar videofilmer fr\u00e5n spel, inklusive spel fr\u00e5n 2D-plattformar och verkliga robotinteraktioner. Det stora datasetet gjorde det m\u00f6jligt f\u00f6r Genie att f\u00f6rst\u00e5 och generera fysik, dynamik och estetik f\u00f6r m\u00e5nga milj\u00f6er och objekt. Den f\u00e4rdiga modellen, som dokumenterats i en forskningsartikel, inneh\u00e5ller 11 miljarder parametrar f\u00f6r att generera interaktiva virtuella v\u00e4rldar fr\u00e5n antingen bilder i flera format eller textmeddelanden. Du kan allts\u00e5 mata Genie med en bild av ditt vardagsrum eller din tr\u00e4dg\u00e5rd<\/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\" 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