{"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\/ro\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/","title":{"rendered":"Explozie! Cadoul de Anul Nou Chinezesc al DeepSeek - o explica\u021bie detaliat\u0103 a modelului multimodal Janus-Pro"},"content":{"rendered":"<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div>\n<p>Explozie!<a href=\"https:\/\/www.deepseek.com\/\" target=\"_blank\" rel=\"noreferrer noopener\"> DeepSeek<\/a>O explica\u021bie detaliat\u0103 a modelului multimodal 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\">Cel mai recent model Janus-Pro de la DeepSeek <\/a>conecteaz\u0103 direct \"creierele st\u00e2ng \u0219i drept\" ale inteligen\u021bei artificiale multimodale!<\/p>\n\n\n\n<p>Acest uciga\u0219 cu dou\u0103 fe\u021be, care poate face simultan \u00een\u021belegerea imaginilor \u0219i a textului \u0219i generarea de imagini, rescrie regulile industriei cu cadrul s\u0103u autodezvoltat.<\/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>Aceasta nu este o simpl\u0103 suprapunere a func\u021biilor, ci, prin decuplarea c\u0103ii de codificare vizual\u0103, modelul a realizat adev\u0103ratul \"o minte, dou\u0103 utiliz\u0103ri\".<\/p>\n\n\n\n<p>Modelele multimodale tradi\u021bionale sunt ca \u0219i cum ai folosi aceea\u0219i m\u00e2n\u0103 pentru a scrie \u0219i a desena, \u00een timp ce Janus-Pro echipeaz\u0103 direct IA cu dou\u0103 sisteme neuronale!<\/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\">Tabla de con\u021binut<\/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=\"Toggle Tabelul de con\u021binut\"><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\/ro\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#Framework_revolution_solving_the_century-old_problem_of_multimodality\" >Revolu\u021bia cadrului: rezolvarea problemei vechi de un secol a multimodalit\u0103\u021bii<\/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\/ro\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#Training_strategy_the_evolutionary_path_to_three-step_success\" >Strategia de formare: calea evolutiv\u0103 c\u0103tre succesul \u00een trei etape<\/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\/ro\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#Performance_master\" >Maestru de performan\u021b\u0103<\/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\/ro\/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: simte-te liber s\u0103 te joci!<\/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\/ro\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#Practical_value_lowering_the_barrier_to_entry\" >Valoare practic\u0103: reducerea barierei la intrare<\/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\/ro\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#DeepSeeks_comprehensive_breakthrough\" >Descoperirea cuprinz\u0103toare a DeepSeek<\/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\/ro\/explosion-deepseeks-chinese-new-year-gift-a-detailed-explanation-of-the-multimodal-model-janus-pro\/#Janus_pro_Related_links_and_documents\" >Janus pro Linkuri \u0219i documente conexe<\/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>Revolu\u021bia cadrului: rezolvarea problemei vechi de un secol a multimodalit\u0103\u021bii<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Cea mai nemiloas\u0103 inova\u021bie a Janus-Pro este \u00eemp\u0103r\u021birea cod\u0103rii vizuale \u00een dou\u0103 canale independente.<\/p>\n\n\n\n<p>Este ca \u0219i cum am dota inteligen\u021ba artificial\u0103 cu ochiul \u00een\u021belegerii \u0219i cu m\u00e2na crea\u021biei, astfel \u00eenc\u00e2t modelul s\u0103 nu mai \u00eent\u00e2mpine dificult\u0103\u021bi atunci c\u00e2nd proceseaz\u0103 \"descrierea imaginii\" \u0219i \"transformarea textului \u00een imagine\".<\/p>\n\n\n\n<p>Cea mai mare descoperire a sa const\u0103 \u00een noua sa arhitectur\u0103 unificat\u0103. Aceast\u0103 arhitectur\u0103 const\u0103 din trei componente de baz\u0103:<\/p>\n\n\n\n<p>Autoencoder: ca model lingvistic de baz\u0103<\/p>\n\n\n\n<p>SigLIP-L@384: responsabil pentru codificarea \u00een\u021belegerii imaginilor<\/p>\n\n\n\n<p>VQ-VAE bazat pe LlamaGen: pentru generarea de imagini<\/p>\n\n\n\n<p>Prin decuplarea codific\u0103rii vizuale \u00een c\u0103i independente, men\u021bin\u00e2nd \u00een acela\u0219i timp o arhitectur\u0103 unificat\u0103 a transformatorului, Janus-Pro rezolv\u0103 \u00een mod ingenios conflictul de rol al modelelor anterioare \u00een codificatorul vizual.<\/p>\n\n\n\n<p>@reach_vb eviden\u021biaz\u0103 descoperirea cheie \u00een arhitectur\u0103:<\/p>\n\n\n\n<p>Modelul este construit pe DeepSeek-LLM-1.5b\/7b, utilizeaz\u0103 SigLIP-L pentru a procesa 384\u00d7384 intr\u0103ri de imagine \u0219i decupleaz\u0103 procesul de codificare prin c\u0103i specifice sarcinii<\/p>\n\n\n\n<p>Acest design permite modelului s\u0103 treac\u0103 f\u0103r\u0103 probleme de la o sarcin\u0103 multimodal\u0103 la alta, men\u021bin\u00e2nd \u00een acela\u0219i timp o singur\u0103 arhitectur\u0103 Transformer.<\/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>Strategia de formare: calea evolutiv\u0103 c\u0103tre succesul \u00een trei etape<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Echipa DeepSeek a adoptat un proces de formare \u00een trei etape atent conceput:<\/p>\n\n\n\n<p>Etapa 1: Preg\u0103tirea noilor parametri pe setul de date ImageNet pentru a stabili conexiuni conceptuale \u00eentre elementele vizuale \u0219i lingvistice<\/p>\n\n\n\n<p>Etapa 2: Introducerea unui set de date hibride multimodale pentru ajustarea complet\u0103 a parametrilor<\/p>\n\n\n\n<p>Etapa 3: \u00cembun\u0103t\u0103\u021birea capacit\u0103\u021bilor de urm\u0103rire a comenzii \u0219i de dialog prin reglaje fine supravegheate<\/p>\n\n\n\n<p>De asemenea, au fost efectuate ajust\u0103ri inovatoare ale raportului de date:<\/p>\n\n\n\n<p>Sarcina de \u00een\u021belegere a imaginilor: 50% (o cre\u0219tere semnificativ\u0103)<\/p>\n\n\n\n<p>Sarcina de generare a imaginilor: 40<\/p>\n\n\n\n<p>Text sarcin\u0103: 10%<\/p>\n\n\n\n<p>@iScienceLuvr subliniaz\u0103 secretul form\u0103rii:<\/p>\n\n\n\n<p>Propor\u021bia sarcinilor text a fost redus\u0103 \u00een mod deliberat \u00een timpul celei de-a treia etape de ajustare<\/p>\n\n\n\n<p>Acest lucru oblig\u0103 modelul s\u0103 \u00ee\u0219i concentreze puterea de calcul asupra conversiei intermodale<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Performance_master\"><\/span>Maestru de performan\u021b\u0103<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Acest monstru \"all-rounder\" face ravagii \u00een ceea ce prive\u0219te cei doi parametri de baz\u0103!<\/p>\n\n\n\n<p>Testele oficiale arat\u0103 c\u0103 Janus-Pro nu numai c\u0103 dep\u0103\u0219e\u0219te modelul unificat anterior, dar poate chiar s\u0103 se confrunte cu modele specializate - ob\u021bin\u00e2nd un scor la fel de mare ca LLaVA \u00een sarcina de \u00een\u021belegere \u0219i dep\u0103\u0219ind DALL-E 3 \u00een calitatea genera\u021biei!<\/p>\n\n\n\n<p>Cu un scor GenEval de 0,8, face de ru\u0219ine SD3-Medium<\/p>\n\n\n\n<p>\u0219i un scor DPG-Bench de 84,19, calitatea crea\u021biei sale vizuale este apropiat\u0103 de cea a designerilor profesioni\u0219ti<\/p>\n\n\n\n<p>Acest lucru se bazeaz\u0103 pe o strategie de formare de 72 de milioane de imagini sintetice \u0219i trei etape de formare (formare adaptor \u2192 preformare unificat\u0103 \u2192 reglaj fin supravegheat), care a transformat literalmente modelul \u00eentr-un \"maestru multimodal\".<\/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 a postat o compara\u021bie a m\u0103sur\u0103torilor reale:<\/p>\n\n\n\n<p>Rul\u00e2nd o versiune cuantificat\u0103 pe 4 bi\u021bi pe un iPhone, viteza de inferen\u021b\u0103 este de aproape 60 token-uri\/s<\/p>\n\n\n\n<p>Miniatura 384\u00d7384 generat\u0103 poate citi de fapt textul pl\u0103cu\u021bei de \u00eenmatriculare<\/p>\n\n\n\n<p>\u00cen testul de referin\u021b\u0103 de \u00een\u021belegere multimodal\u0103, Janus-Pro-7B a demonstrat o putere uimitoare:<\/p>\n\n\n\n<p>POP\u0102: 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>\u00cen ceea ce prive\u0219te generarea de imagini, modelul a ob\u021binut un scor GenEval de 0,8 \u0219i un scor DPG-Bench de 84,19, dep\u0103\u0219ind multe modele obi\u0219nuite, inclusiv DALL-E 3 \u0219i 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: simte-te liber s\u0103 te joci!<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>DeepSeek a r\u0103sturnat situa\u021bia de data aceasta - versiunea dubl\u0103 7B\/1B este complet open source, iar licen\u021ba MIT permite modific\u0103ri comerciale!<\/p>\n\n\n\n<p>Hugging Face poate fi desc\u0103rcat imediat \u0219i chiar \u0219i versiunea u\u0219oar\u0103 1B poate fi rulat\u0103 local pe un iPhone.<\/p>\n\n\n\n<p>Dezvoltatorul @angrypenguinPNG a oferit o demonstra\u021bie live:<\/p>\n\n\n\n<p>Introduce\u021bi \"scen\u0103 nocturn\u0103 ora\u0219 viitor\" \u0219i o vedere stradal\u0103 cyberpunk a ap\u0103rut \u00een c\u00e2teva secunde<\/p>\n\n\n\n<p>M\u0103re\u0219te imaginea pentru a examina detaliile scenei, iar modelul poate descrie cu exactitate gradientul luminilor de neon<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Practical_value_lowering_the_barrier_to_entry\"><\/span>Valoare practic\u0103: reducerea barierei la intrare<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Pentru a satisface nevoile diferitelor scenarii, DeepSeek ofer\u0103 dou\u0103 versiuni:<\/p>\n\n\n\n<p>Janus-Pro-7B: versiunea complet\u0103, cu performan\u021be puternice<\/p>\n\n\n\n<p>Janus-Pro-1B: o versiune u\u0219oar\u0103 care poate fi rulat\u0103 direct \u00een browser<\/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>Ambele versiuni au fost deschise pe platforma Hugging Face \u0219i lansate sub licen\u021ba MIT, astfel \u00eenc\u00e2t dezvoltatorii le pot utiliza \u0219i modifica liber.<\/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>Descoperirea cuprinz\u0103toare a DeepSeek<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Acum, cea mai interesant\u0103 \u00eentrebare este: atunci c\u00e2nd \u00een\u021belegerea \u0219i generarea nu vor mai necesita dou\u0103 modele separate, arhitectura aplica\u021biilor AI existente va fi perturbat\u0103 \u00een mod colectiv?<\/p>\n\n\n\n<p>Cei care \u00eenc\u0103 se lupt\u0103 cu aplica\u021biile monomodale ar trebui s\u0103 ia \u00een considerare dezvoltarea de aplica\u021bii colaborative pentru creierul st\u00e2ng \u0219i cel drept.<\/p>\n\n\n\n<p>La urma urmei, un model care poate juca simultan cu text \u0219i grafic\u0103 este adev\u0103rata \u00eentruchipare a multimodalit\u0103\u021bii.<\/p>\n\n\n\n<p>Este demn de remarcat faptul c\u0103 lansarea Janus-Pro este doar una dintr-o serie de descoperiri majore recente ale DeepSeek:<\/p>\n\n\n\n<p>Perplexity a integrat modelul DeepSeek R1 pentru c\u0103utarea web profund\u0103<\/p>\n\n\n\n<p>Versiunea distilat\u0103 DeepSeek R1 atinge o vitez\u0103 de inferen\u021b\u0103 local\u0103 de 60 token-uri\/s pe iPhone<\/p>\n\n\n\n<p>DeepSeek AI Assistant a s\u0103rit \u00een fruntea listei de aplica\u021bii gratuite din App Store<\/p>\n\n\n\n<p>\u0219i a demonstrat performan\u021be de inferen\u021b\u0103 extrem de rapide pe platforma Groq.<\/p>\n\n\n\n<p>Aceste realiz\u0103ri demonstreaz\u0103 puterea cuprinz\u0103toare a DeepSeek \u00een domeniul IA, iar progresul revolu\u021bionar al Janus-Pro a deschis noi direc\u021bii pentru dezvoltarea IA multimodal\u0103.<\/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 Linkuri \u0219i documente conexe<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Adresa proiectului:<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/deepseek-ai\/Janus\" target=\"_blank\" rel=\"noreferrer noopener\">Depozit GitHub<\/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\">Raport tehnic<\/a><\/p>\n\n\n\n<p><strong>Desc\u0103rc\u0103ri de model:<\/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>Experien\u021b\u0103 rapid\u0103:<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/janusai.pro\/ro\/\" target=\"_blank\" rel=\"noreferrer noopener\">F\u0103r\u0103 implementare, gratuit, utilizare online janus pro<\/a><\/p>\n\n\n\n<p><strong>Documenta\u021bie de referin\u021b\u0103:<\/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\">Ghid de pornire rapid\u0103<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/huggingface.co\/organizations\/deepseek-ai\/activity\/all\" target=\"_blank\" rel=\"noreferrer noopener\">Evenimentul oficial DeepSeek<\/a><\/p>\n\n\n\n<p>\u00cen cele din urm\u0103, am dori s\u0103 spunem: Numele companiei lui Sam Altman, pl\u0103cinta pe care a pictat-o \u0219i calea la care s-a g\u00e2ndit par s\u0103 fie transmise acestei companii chineze conduse de curiozitate, care va continua explorarea aprofundat\u0103 a limitelor inteligen\u021bei!<\/p>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Explozie! Cadoul de Anul Nou Chinezesc al DeepSeek - o explica\u021bie detaliat\u0103 a modelului multimodal Janus-Pro Cel mai recent model Janus-Pro al DeepSeek conecteaz\u0103 direct \"creierul st\u00e2ng \u0219i cel drept\" al inteligen\u021bei artificiale multimodale! Acest uciga\u0219 cu dou\u0103 fe\u021be, care poate face simultan \u00een\u021belegerea imaginilor \u0219i a textului \u0219i generarea de imagini, rescrie regulile industriei cu cadrul s\u0103u auto-dezvoltat. Aceasta nu este...<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-607","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/posts\/607","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/comments?post=607"}],"version-history":[{"count":1,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/posts\/607\/revisions"}],"predecessor-version":[{"id":610,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/posts\/607\/revisions\/610"}],"wp:attachment":[{"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/media?parent=607"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/categories?post=607"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/tags?post=607"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}