{"id":607,"date":"2025-01-28T08:08:27","date_gmt":"2025-01-28T08:08:27","guid":{"rendered":"https:\/\/janusai.pro\/?p=607"},"modified":"2025-01-28T08:08:28","modified_gmt":"2025-01-28T08:08:28","slug":"explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro","status":"publish","type":"post","link":"https:\/\/janusai.pro\/da\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/","title":{"rendered":"Eksplosion! DeepSeeks kinesiske nyt\u00e5rsgave - en detaljeret forklaring af den multimodale model Janus-Pro"},"content":{"rendered":"<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div>\n<p>Eksplosion!<a href=\"https:\/\/www.deepseek.com\/\" target=\"_blank\" rel=\"noreferrer noopener\"> DeepSeek<\/a>'s kinesiske nyt\u00e5rsgave - en detaljeret forklaring af den multimodale model Janus-Pro<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/rmy9ct2fln.feishu.cn\/space\/api\/box\/stream\/download\/asynccode\/?code=NjQ1ZDQ0YmE4ZDI4ZGU3NWY4NjI3YzZlYzM4NTQ4M2NfR3h1d1pqTHdqaXJsN0xnajFNM3pQOVBUcWZyZ1Y4c3FfVG9rZW46REVyNWJucW1hb1RNWGd4cDA2V2N5NU1ibmpkXzE3MzgwNTEzNzM6MTczODA1NDk3M19WNA\" alt=\"\"\/><\/figure>\n\n\n\n<p><a href=\"https:\/\/www.deepseek.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">DeepSeeks seneste Janus-Pro-model <\/a>forbinder direkte \"venstre og h\u00f8jre hjernehalvdel\" i multimodal AI!<\/p>\n\n\n\n<p>Denne dobbelte dr\u00e6ber, som b\u00e5de kan forst\u00e5 billeder og tekst og generere billeder, er ved at omskrive reglerne i branchen med sin egenudviklede ramme.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/rmy9ct2fln.feishu.cn\/space\/api\/box\/stream\/download\/asynccode\/?code=MjhiMjc0Y2E3MTdkOWVmYWNlMjIxM2FkM2Q0NzFlYjBfTkl3a0ZwOTNDYnJpVWRMcGtzeU5JVmpmb2VoTEsyN2hfVG9rZW46VThxbGJwU2Yyb0EyeVB4MlY4ZWNZVGE5blBiXzE3MzgwNTEzNzM6MTczODA1NDk3M19WNA\" alt=\"\"\/><\/figure>\n\n\n\n<p>Det er ikke en simpel overlejring af funktioner, men ved at afkoble den visuelle kodningsvej har modellen opn\u00e5et \u00e6gte \"et sind, to anvendelser\".<\/p>\n\n\n\n<p>Traditionelle multimodale modeller svarer til at bruge den samme h\u00e5nd til at skrive og tegne, mens Janus-Pro direkte udstyrer AI'en med to neurale systemer!<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Indholdsfortegnelse<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Skift til indholdsfortegnelse\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/janusai.pro\/da\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#Framework_revolution_solving_the_century-old_problem_of_multimodality\" >Framework-revolution: L\u00f8sning af det \u00e5rhundredgamle problem med multimodalitet<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/janusai.pro\/da\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#Training_strategy_the_evolutionary_path_to_three-step_success\" >Tr\u00e6ningsstrategi: den evolution\u00e6re vej til succes i tre trin<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/janusai.pro\/da\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#Performance_master\" >Performance master<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/janusai.pro\/da\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#MIT_open_source_feel_free_to_play\" >MIT open source: du er velkommen til at lege!<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/janusai.pro\/da\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#Practical_value_lowering_the_barrier_to_entry\" >Praktisk v\u00e6rdi: s\u00e6nk adgangsbarrieren<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/janusai.pro\/da\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#DeepSeeks_comprehensive_breakthrough\" >DeepSeeks omfattende gennembrud<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/janusai.pro\/da\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#Janus_pro_Related_links_and_documents\" >Janus pro Relaterede links og dokumenter<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Framework_revolution_solving_the_century-old_problem_of_multimodality\"><\/span>Framework-revolution: L\u00f8sning af det \u00e5rhundredgamle problem med multimodalitet<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Den mest hensynsl\u00f8se nyskabelse i Janus-Pro er at opdele den visuelle kodning i to uafh\u00e6ngige kanaler.<\/p>\n\n\n\n<p>Det er som at udstyre AI'en med forst\u00e5elsens \u00f8je og skabelsens h\u00e5nd, s\u00e5 modellen ikke l\u00e6ngere k\u00e6mper, n\u00e5r den behandler \"billedbeskrivelse\" og \"tekst-til-billede\".<\/p>\n\n\n\n<p>Dens st\u00f8rste gennembrud ligger i dens helt nye samlede arkitekturdesign. Denne arkitektur best\u00e5r af tre kernekomponenter:<\/p>\n\n\n\n<p>Autoencoder: som den centrale sprogmodel<\/p>\n\n\n\n<p>SigLIP-L@384: ansvarlig for kodning af billedforst\u00e5else<\/p>\n\n\n\n<p>VQ-VAE baseret p\u00e5 LlamaGen: til billedgenerering<\/p>\n\n\n\n<p>Ved at afkoble den visuelle kodning i uafh\u00e6ngige stier og samtidig bevare en samlet transformerarkitektur l\u00f8ser Janus-Pro p\u00e5 genial vis den rollekonflikt, som tidligere modeller har haft i den visuelle koder.<\/p>\n\n\n\n<p>@reach_vb p\u00e5peger det vigtigste gennembrud i arkitekturen:<\/p>\n\n\n\n<p>Modellen er bygget p\u00e5 DeepSeek-LLM-1.5b\/7b, bruger SigLIP-L til at behandle 384\u00d7384 billedinput og afkobler kodningsprocessen gennem opgavespecifikke stier<\/p>\n\n\n\n<p>Dette design g\u00f8r det muligt for modellen at skifte problemfrit mellem multimodale opgaver og samtidig bevare en enkelt Transformer-arkitektur.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Training_strategy_the_evolutionary_path_to_three-step_success\"><\/span>Tr\u00e6ningsstrategi: den evolution\u00e6re vej til succes i tre trin<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>DeepSeek-teamet anvendte en omhyggeligt designet tr\u00e6ningsproces i tre faser:<\/p>\n\n\n\n<p>Fase 1: Tr\u00e6n nye parametre p\u00e5 ImageNet-datas\u00e6ttet for at etablere konceptuelle forbindelser mellem visuelle og sproglige elementer<\/p>\n\n\n\n<p>Fase 2: Introducer et multimodalt hybriddatas\u00e6t til fuld finjustering af parametre<\/p>\n\n\n\n<p>Fase 3: Forbedre evnen til at f\u00f8lge kommandoer og dialog gennem overv\u00e5get finjustering<\/p>\n\n\n\n<p>Der er ogs\u00e5 foretaget innovative justeringer af dataforholdet:<\/p>\n\n\n\n<p>Billedforst\u00e5elsesopgave: 50% (en signifikant stigning)<\/p>\n\n\n\n<p>Billedgenereringsopgave: 40<\/p>\n\n\n\n<p>Tekstopgave: 10%<\/p>\n\n\n\n<p>@iScienceLuvr p\u00e5peger hemmeligheden bag tr\u00e6ning:<\/p>\n\n\n\n<p>Andelen af tekstopgaver blev bevidst reduceret i den tredje fase af finjusteringen<\/p>\n\n\n\n<p>Det tvinger modellen til at fokusere sin computerkraft p\u00e5 tv\u00e6rmodal konvertering.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Performance_master\"><\/span>Performance master<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Dette \"allrounder\"-monster g\u00f8r det godt p\u00e5 de to vigtigste parametre!<\/p>\n\n\n\n<p>Officielle tests viser, at Janus-Pro ikke kun sl\u00e5r den tidligere unified-model, men endda kan tage kampen op med specialiserede modeller - den scorer lige s\u00e5 h\u00f8jt som LLaVA i forst\u00e5elsesopgaven og overg\u00e5r DALL-E 3 i generationskvalitet!<\/p>\n\n\n\n<p>Med en GenEval-score p\u00e5 0,8 g\u00f8r den SD3-Medium til skamme<\/p>\n\n\n\n<p>og en DPG-Bench-score p\u00e5 84,19 er den visuelle kvalitet t\u00e6t p\u00e5 professionelle designeres.<\/p>\n\n\n\n<p>Dette er baseret p\u00e5 en tr\u00e6ningsstrategi med 72 millioner syntetiske billeder og tre tr\u00e6ningsfaser (adaptertr\u00e6ning \u2192 samlet pr\u00e6tr\u00e6ning \u2192 overv\u00e5get finjustering), som bogstaveligt talt har gjort modellen til en \"multimodal mester\".<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" src=\"https:\/\/rmy9ct2fln.feishu.cn\/space\/api\/box\/stream\/download\/asynccode\/?code=YTNjN2M3NjFjMjUzNTMyMTYzMGI2NzU5MzRhYzc2NGNfdUlIMGx1NG5qWVFIcWVkb0NDQlRaM3BpM1N5akpWcWVfVG9rZW46VG9GNWI1a0tsb2NoVUl4S1gzQWNFUm5RblpiXzE3MzgwNTEzNzM6MTczODA1NDk3M19WNA\" alt=\"\"\/><\/figure><\/div>\n\n\n<p>@dr_cintas postede en sammenligning af faktiske m\u00e5linger:<\/p>\n\n\n\n<p>N\u00e5r man k\u00f8rer en 4-bit kvantiseret version p\u00e5 en iPhone, er inferenshastigheden n\u00e6sten 60 tokens\/s<\/p>\n\n\n\n<p>Den genererede 384\u00d7384 thumbnail kan faktisk l\u00e6se nummerpladeteksten<\/p>\n\n\n\n<p>I benchmark-testen for multimodal forst\u00e5else viste Janus-Pro-7B en fantastisk styrke:<\/p>\n\n\n\n<p>PAVE: 87.4%<\/p>\n\n\n\n<p>MME-PT: 1567.1<\/p>\n\n\n\n<p>MMBench: 79,2<\/p>\n\n\n\n<p>SEED: 72,1<\/p>\n\n\n\n<p>MMMU: 41,0<\/p>\n\n\n\n<p>MM-Vet: 50,0<\/p>\n\n\n\n<p>Med hensyn til billedgenerering opn\u00e5ede modellen en GenEval-score p\u00e5 0,8 og en DPG-Bench-score p\u00e5 84,19, hvilket overg\u00e5r mange mainstream-modeller, herunder DALL-E 3 og SD3-Medium.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"MIT_open_source_feel_free_to_play\"><\/span>MIT open source: du er velkommen til at lege!<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>DeepSeek har vendt b\u00f8tten denne gang - 7B\/1B dual-versionen er fuldt ud open source, og MIT-licensen tillader kommercielle \u00e6ndringer!<\/p>\n\n\n\n<p>Hugging Face kan downloades med det samme, og selv letv\u00e6gtsversionen 1B kan k\u00f8res lokalt p\u00e5 en iPhone.<\/p>\n\n\n\n<p>Udvikler @angrypenguinPNG gav en live-demonstration:<\/p>\n\n\n\n<p>Indtast \"future city night scene\", og en cyberpunk-gadevisning dukkede op p\u00e5 f\u00e5 sekunder.<\/p>\n\n\n\n<p>Zoom ind for at unders\u00f8ge detaljerne i scenen, og modellen kan n\u00f8jagtigt beskrive gradienten i neonlysene<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Practical_value_lowering_the_barrier_to_entry\"><\/span>Praktisk v\u00e6rdi: s\u00e6nk adgangsbarrieren<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>For at im\u00f8dekomme behovene i forskellige scenarier tilbyder DeepSeek to versioner:<\/p>\n\n\n\n<p>Janus-Pro-7B: den fulde version med kraftig ydeevne<\/p>\n\n\n\n<p>Janus-Pro-1B: en letv\u00e6gtsversion, der kan k\u00f8res direkte i browseren<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/rmy9ct2fln.feishu.cn\/space\/api\/box\/stream\/download\/asynccode\/?code=NTFmYzY0NmFmOWU5YWNkMThlNzBkNjI1YzgyZGZhMThfRUYzZ1BjR2RUYzZkckdFYjloc2tlOUw4dEtSQ2Nqb01fVG9rZW46RDNodGJxeEppb29WU1R4ajdjdWNsZXJwbmRkXzE3MzgwNTEzNzM6MTczODA1NDk3M19WNA\" alt=\"\"\/><\/figure>\n\n\n\n<p>Begge versioner er open source p\u00e5 Hugging Face-platformen og udgivet under MIT-licensen, s\u00e5 udviklere frit kan bruge og \u00e6ndre dem.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/rmy9ct2fln.feishu.cn\/space\/api\/box\/stream\/download\/asynccode\/?code=NWRhMjEwYjQ0MDQ5ZmE1ZTM0MjBmMzk1ZWM2OWRlYTBfRUJ4S2pIU1dmSG9GaGRTUURJanhxT1ZEQTFkRmU0ZlFfVG9rZW46QUdCUWJ6N2V0b2NoYXh4V2ppamNRRzVNbktjXzE3MzgwNTEzNzM6MTczODA1NDk3M19WNA\" alt=\"\"\/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"DeepSeeks_comprehensive_breakthrough\"><\/span>DeepSeeks omfattende gennembrud<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Nu er det mest sp\u00e6ndende sp\u00f8rgsm\u00e5l: N\u00e5r forst\u00e5else og generering ikke l\u00e6ngere kr\u00e6ver to separate modeller, vil den eksisterende AI-applikationsarkitektur s\u00e5 blive kollektivt forstyrret?<\/p>\n\n\n\n<p>De, der stadig k\u00e6mper med enkeltmodale applikationer, b\u00f8r overveje at udvikle samarbejdsapplikationer til venstre og h\u00f8jre hjernehalvdel.<\/p>\n\n\n\n<p>N\u00e5r alt kommer til alt, er en model, der samtidig kan spille med b\u00e5de tekst og grafik, den sande legemligg\u00f8relse af multimodalitet.<\/p>\n\n\n\n<p>Det er v\u00e6rd at bem\u00e6rke, at udgivelsen af Janus-Pro blot er et af en r\u00e6kke nylige store gennembrud fra DeepSeek:<\/p>\n\n\n\n<p>Perplexity har integreret DeepSeek R1-modellen til dyb webs\u00f8gning<\/p>\n\n\n\n<p>DeepSeek R1-destilleret version opn\u00e5r en lokal inferenshastighed p\u00e5 60 tokens\/s p\u00e5 iPhone<\/p>\n\n\n\n<p>DeepSeek AI Assistant er sprunget til tops p\u00e5 App Stores gratisliste<\/p>\n\n\n\n<p>og demonstrerede ekstremt hurtig udledningsydelse p\u00e5 Groq-platformen.<\/p>\n\n\n\n<p>Disse resultater viser DeepSeeks omfattende styrke inden for kunstig intelligens, og de banebrydende fremskridt med Janus-Pro har \u00e5bnet nye veje for udviklingen af multimodal kunstig intelligens.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Janus_pro_Related_links_and_documents\"><\/span>Janus pro Relaterede links og dokumenter<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Projektets adresse:<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/deepseek-ai\/Janus\" target=\"_blank\" rel=\"noreferrer noopener\">GitHub-arkiv<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/deepseek-ai\/Janus\/blob\/main\/janus_pro_tech_report.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Teknisk rapport<\/a><\/p>\n\n\n\n<p><strong>Download af modeller:<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/huggingface.co\/deepseek-ai\/Janus-Pro-7B\" target=\"_blank\" rel=\"noreferrer noopener\">Janus-Pro-7B<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/huggingface.co\/deepseek-ai\/Janus-Pro-1B\" target=\"_blank\" rel=\"noreferrer noopener\">Janus-Pro-1B<\/a><\/p>\n\n\n\n<p><strong>Hurtig oplevelse:<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/janusai.pro\/da\/\" target=\"_blank\" rel=\"noreferrer noopener\">Ingen udrulning, gratis, online brug janus pro<\/a><\/p>\n\n\n\n<p><strong>Referencedokumentation:<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/deepseek-ai\/Janus?tab=readme-ov-file#3-quick-start\" target=\"_blank\" rel=\"noreferrer noopener\">Hurtig start-guide<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/huggingface.co\/organizations\/deepseek-ai\/activity\/all\" target=\"_blank\" rel=\"noreferrer noopener\">DeepSeek officiel begivenhed<\/a><\/p>\n\n\n\n<p>Til sidst vil vi gerne sige: Sam Altmans firmanavn, den kage, han har malet, og den vej, han har t\u00e6nkt p\u00e5, ser ud til at blive givet videre til denne nysgerrighedsdrevne kinesiske virksomhed, som vil forts\u00e6tte den dybtg\u00e5ende udforskning af intelligensens gr\u00e6nser!<\/p>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Eksplosion! DeepSeeks kinesiske nyt\u00e5rsgave - en detaljeret forklaring af den multimodale model Janus-Pro DeepSeeks seneste Janus-Pro-model forbinder direkte \"venstre og h\u00f8jre hjerne\" i multimodal AI! Denne dobbeltmorder, som b\u00e5de kan forst\u00e5 billeder og tekst og generere billeder, er ved at omskrive branchens regler med sin egenudviklede ramme. 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