{"id":857,"date":"2025-02-04T16:45:13","date_gmt":"2025-02-04T16:45:13","guid":{"rendered":"https:\/\/janusai.pro\/?p=857"},"modified":"2025-02-04T16:45:15","modified_gmt":"2025-02-04T16:45:15","slug":"in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have","status":"publish","type":"post","link":"https:\/\/janusai.pro\/ro\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/","title":{"rendered":"Analiz\u0103 \u00een profunzime: Ce inova\u021bii are noul Janus-Pro lansat de DeepSeek?"},"content":{"rendered":"<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div>\n<p>DeepSeek \u0219i-a actualizat site-ul web.<\/p>\n\n\n\n<p>\u00cen primele ore ale nop\u021bii de Anul Nou, DeepSeek a anun\u021bat brusc pe GitHub c\u0103 spa\u021biul proiectului Janus a deschis sursa modelului Janus-Pro \u0219i a raportului tehnic.<\/p>\n\n\n\n<p>Mai \u00eent\u00e2i, s\u0103 subliniem c\u00e2teva puncte cheie:<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>The <a href=\"https:\/\/huggingface.co\/deepseek-ai\/Janus-Pro-7B\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Model Janus-Pro<\/a> lansat de aceast\u0103 dat\u0103 este un model multimodal care<strong> poate efectua simultan sarcini de \u00een\u021belegere multimodal\u0103 \u0219i de generare a imaginilor. Acesta are un total de dou\u0103 versiuni de parametri, <a href=\"https:\/\/huggingface.co\/deepseek-ai\/Janus-Pro-7B\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Janus-Pro-1B \u0219i Janus-Pro-7B<\/a>.<\/strong><\/li>\n\n\n\n<li>Inova\u021bia de baz\u0103 a Janus-Pro este decuplarea<strong> \u00een\u021belegerea \u0219i generarea multimodal\u0103, dou\u0103 sarcini diferite. Acest lucru permite ca aceste dou\u0103 sarcini s\u0103 fie \u00eendeplinite eficient \u00een acela\u0219i model<\/strong>.<\/li>\n\n\n\n<li>Janus-Pro este \u00een concordan\u021b\u0103 cu arhitectura modelului Janus lansat de DeepSeek \u00een octombrie anul trecut, dar la acel moment Janus nu avea mult volum. Dr. Charles, un expert \u00een algoritmi \u00een domeniul vederii, ne-a spus c\u0103 Janus anterior era \"mediu\" \u0219i \"nu la fel de bun ca modelul lingvistic al DeepSeek\".<\/li>\n<\/ol>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1870\" height=\"1804\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/720ad345-4902-46e0-9185-bc4f887ed302.png\" alt=\"\" class=\"wp-image-859\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/720ad345-4902-46e0-9185-bc4f887ed302.png 1870w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/720ad345-4902-46e0-9185-bc4f887ed302-300x289.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/720ad345-4902-46e0-9185-bc4f887ed302-1024x988.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/720ad345-4902-46e0-9185-bc4f887ed302-768x741.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/720ad345-4902-46e0-9185-bc4f887ed302-1536x1482.png 1536w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/720ad345-4902-46e0-9185-bc4f887ed302-12x12.png 12w\" sizes=\"auto, (max-width: 1870px) 100vw, 1870px\" \/><\/figure>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_72 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\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#It_is_intended_to_solve_the_industrys_difficult_problem_balancing_multimodal_understanding_and_image_generation\" title=\"Acesta este destinat s\u0103 rezolve problema dificil\u0103 a industriei: echilibrarea \u00een\u021belegerii multimodale \u0219i generarea de imagini\">Acesta este destinat s\u0103 rezolve problema dificil\u0103 a industriei: echilibrarea \u00een\u021belegerii multimodale \u0219i generarea de imagini<\/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\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#Januss_decoupled_architecture_and_Janus-Pros_optimized_training_strategy\" title=\"Arhitectura decuplat\u0103 a Janus \u0219i strategia de formare optimizat\u0103 a Janus-Pro\">Arhitectura decuplat\u0103 a Janus \u0219i strategia de formare optimizat\u0103 a Janus-Pro<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/janusai.pro\/ro\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#First_lets_look_at_the_parameters\" title=\"\u00cen primul r\u00e2nd, s\u0103 ne uit\u0103m la parametri.\">\u00cen primul r\u00e2nd, s\u0103 ne uit\u0103m la parametri.<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/janusai.pro\/ro\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#There_is_also_the_training_strategy\" title=\"Exist\u0103, de asemenea, strategia de formare.\">Exist\u0103, de asemenea, strategia de formare.<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/janusai.pro\/ro\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#Stage_I_%E2%80%93_Longer_training_time\" title=\"Etapa I - Timp de formare mai lung\">Etapa I - Timp de formare mai lung<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/janusai.pro\/ro\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#Stage_II_%E2%80%93_Removing_ImageNet_data_and_adding_multi-modal_data\" title=\"Etapa II - Eliminarea datelor ImageNet \u0219i ad\u0103ugarea de date multimodale\">Etapa II - Eliminarea datelor ImageNet \u0219i ad\u0103ugarea de date multimodale<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/janusai.pro\/ro\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#Stage_III_%E2%80%93_Optimizing_the_data_ratio\" title=\"Etapa III - Optimizarea raportului de date\">Etapa III - Optimizarea raportului de date<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/janusai.pro\/ro\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#Lets_look_at_the_training_data\" title=\"S\u0103 ne uit\u0103m la datele de antrenament.\">S\u0103 ne uit\u0103m la datele de antrenament.<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/janusai.pro\/ro\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#Expansion_of_multimodal_understanding_data\" title=\"Extinderea datelor de \u00een\u021belegere multimodal\u0103:\">Extinderea datelor de \u00een\u021belegere multimodal\u0103:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/janusai.pro\/ro\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#Expansion_of_visual_generation_data\" title=\"Extinderea datelor de generare vizual\u0103:\">Extinderea datelor de generare vizual\u0103:<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/janusai.pro\/ro\/in-depth-analysis-what-innovations-does-deepseeks-newly-released-janus-pro-have\/#The_continuation_of_an_efficiency_revolution\" title=\"Continuarea unei revolu\u021bii a eficien\u021bei?\">Continuarea unei revolu\u021bii a eficien\u021bei?<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"It_is_intended_to_solve_the_industrys_difficult_problem_balancing_multimodal_understanding_and_image_generation\"><\/span><strong>Acesta este destinat s\u0103 rezolve problema dificil\u0103 a industriei: echilibrarea \u00een\u021belegerii multimodale \u0219i generarea de imagini<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Conform introducerii oficiale a DeepSeek, <a href=\"https:\/\/huggingface.co\/deepseek-ai\/Janus-Pro-7B\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Janus-Pro <\/a>poate nu numai s\u0103 \u00een\u021beleag\u0103 imagini, s\u0103 extrag\u0103 \u0219i s\u0103 \u00een\u021beleag\u0103 textul din imagini, ci \u0219i s\u0103 genereze imagini \u00een acela\u0219i timp.<\/p>\n\n\n\n<p>Raportul tehnic men\u021bioneaz\u0103 c\u0103, \u00een compara\u021bie cu alte modele de acela\u0219i tip \u0219i ordin de m\u0103rime, scorurile Janus-Pro-7B la seturile de teste GenEval \u0219i DPG-Bench<strong> le dep\u0103\u0219esc pe cele ale altor modele precum SD3-Medium \u0219i DALL-E 3.<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"1067\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a30e3dd3-b95c-4745-a4f7-8c5ace36af17.png\" alt=\"\" class=\"wp-image-862\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a30e3dd3-b95c-4745-a4f7-8c5ace36af17.png 1080w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a30e3dd3-b95c-4745-a4f7-8c5ace36af17-300x296.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a30e3dd3-b95c-4745-a4f7-8c5ace36af17-1024x1012.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a30e3dd3-b95c-4745-a4f7-8c5ace36af17-768x759.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a30e3dd3-b95c-4745-a4f7-8c5ace36af17-12x12.png 12w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<p>Oficialul d\u0103 \u0219i exemple \ud83d\udc47:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"1295\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a063e5ec-bc07-4129-8ded-0ab90001bbfe.png\" alt=\"\" class=\"wp-image-866\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a063e5ec-bc07-4129-8ded-0ab90001bbfe.png 1080w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a063e5ec-bc07-4129-8ded-0ab90001bbfe-250x300.png 250w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a063e5ec-bc07-4129-8ded-0ab90001bbfe-854x1024.png 854w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a063e5ec-bc07-4129-8ded-0ab90001bbfe-768x921.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/a063e5ec-bc07-4129-8ded-0ab90001bbfe-10x12.png 10w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<p>Exist\u0103, de asemenea, mul\u021bi internau\u021bi pe X care \u00eencearc\u0103 noile caracteristici.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"1429\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/c5235f43-349a-47a2-ae9f-dc5491d88d61.png\" alt=\"\" class=\"wp-image-867\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/c5235f43-349a-47a2-ae9f-dc5491d88d61.png 1080w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/c5235f43-349a-47a2-ae9f-dc5491d88d61-227x300.png 227w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/c5235f43-349a-47a2-ae9f-dc5491d88d61-774x1024.png 774w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/c5235f43-349a-47a2-ae9f-dc5491d88d61-768x1016.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/c5235f43-349a-47a2-ae9f-dc5491d88d61-9x12.png 9w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"1616\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/61c76adf-1b00-4b38-8504-a47410160d3b.png\" alt=\"\" class=\"wp-image-869\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/61c76adf-1b00-4b38-8504-a47410160d3b.png 1080w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/61c76adf-1b00-4b38-8504-a47410160d3b-200x300.png 200w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/61c76adf-1b00-4b38-8504-a47410160d3b-684x1024.png 684w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/61c76adf-1b00-4b38-8504-a47410160d3b-768x1149.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/61c76adf-1b00-4b38-8504-a47410160d3b-1027x1536.png 1027w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/61c76adf-1b00-4b38-8504-a47410160d3b-8x12.png 8w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<p>Dar exist\u0103 \u0219i blocaje ocazionale.<\/p>\n\n\n\n<p>Prin consultarea documentelor tehnice privind <a href=\"https:\/\/www.deepseek.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">DeepSeek<\/a>, am constatat c\u0103 Janus Pro este o optimizare bazat\u0103 pe Janus, care a fost lansat acum trei luni.<\/p>\n\n\n\n<p>Inova\u021bia principal\u0103 a acestei serii de modele este<strong> decuplarea sarcinilor de \u00een\u021belegere vizual\u0103 de sarcinile de generare vizual\u0103, astfel \u00eenc\u00e2t efectele celor dou\u0103 sarcini s\u0103 poat\u0103 fi echilibrate.<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"538\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/0fc71a9c-e23b-4ae9-976c-a4820124628e.png\" alt=\"\" class=\"wp-image-861\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/0fc71a9c-e23b-4ae9-976c-a4820124628e.png 1080w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/0fc71a9c-e23b-4ae9-976c-a4820124628e-300x149.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/0fc71a9c-e23b-4ae9-976c-a4820124628e-1024x510.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/0fc71a9c-e23b-4ae9-976c-a4820124628e-768x383.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/0fc71a9c-e23b-4ae9-976c-a4820124628e-18x9.png 18w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<p>Nu este neobi\u0219nuit ca un model s\u0103 realizeze \u00een\u021belegerea \u0219i generarea multimodal\u0103 \u00een acela\u0219i timp. D-DiT \u0219i TokenFlow-XL din acest set de testare au ambele aceast\u0103 capacitate.<\/p>\n\n\n\n<p>Cu toate acestea, ceea ce este caracteristic lui Janus este c\u0103<strong> prin decuplarea proces\u0103rii, un model care poate efectua \u00een\u021belegerea \u0219i generarea multimodal\u0103 echilibreaz\u0103 eficien\u021ba celor dou\u0103 sarcini.<\/strong><\/p>\n\n\n\n<p><strong>Echilibrarea eficien\u021bei celor dou\u0103 sarcini este o problem\u0103 dificil\u0103 \u00een industrie.<\/strong> Anterior, ideea era de a utiliza acela\u0219i codificator pentru a implementa c\u00e2t mai mult posibil \u00een\u021belegerea \u0219i generarea multimodal\u0103.<\/p>\n\n\n\n<p>Avantajele acestei abord\u0103ri sunt o arhitectur\u0103 simpl\u0103, lipsa unei desf\u0103\u0219ur\u0103ri redundante \u0219i o aliniere la modelele de text (care utilizeaz\u0103, de asemenea, acelea\u0219i metode pentru a realiza generarea \u0219i \u00een\u021belegerea textului). Un alt argument este c\u0103 aceast\u0103 fuziune a mai multor abilit\u0103\u021bi poate conduce la un anumit grad de emergen\u021b\u0103.<\/p>\n\n\n\n<p>Cu toate acestea, de fapt, dup\u0103 fuzionarea gener\u0103rii \u0219i \u00een\u021belegerii, cele dou\u0103 sarcini vor intra \u00een conflict - \u00een\u021belegerea imaginilor necesit\u0103 ca modelul s\u0103 fac\u0103 abstrac\u021bie \u00een dimensiuni mari \u0219i s\u0103 extrag\u0103 semantica central\u0103 a imaginii, care este orientat\u0103 spre macroscopic. Generarea imaginilor, pe de alt\u0103 parte, se concentreaz\u0103 pe exprimarea \u0219i generarea detaliilor locale la nivel de pixel.<\/p>\n\n\n\n<p>Practica obi\u0219nuit\u0103 a industriei este de a prioritiza capacit\u0103\u021bile de generare a imaginilor. Acest lucru duce la modele multimodale care<strong> pot genera imagini de calitate superioar\u0103, dar rezultatele \u00een\u021belegerii imaginilor sunt adesea mediocre.<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Januss_decoupled_architecture_and_Janus-Pros_optimized_training_strategy\"><\/span><strong>Arhitectura decuplat\u0103 a Janus \u0219i strategia de formare optimizat\u0103 a Janus-Pro<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Arhitectura decuplat\u0103 a lui Janus permite modelului s\u0103 echilibreze singur sarcinile de \u00een\u021belegere \u0219i generare.<\/p>\n\n\n\n<p>Conform rezultatelor din raportul tehnic oficial, fie c\u0103 este vorba de \u00een\u021belegerea multimodal\u0103 sau de generarea de imagini, Janus-Pro-7B are performan\u021be bune pe mai multe seturi de testare.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"976\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/f280e5d6-7150-40d3-bf81-7e5e5b780129.png\" alt=\"\" class=\"wp-image-863\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/f280e5d6-7150-40d3-bf81-7e5e5b780129.png 1080w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/f280e5d6-7150-40d3-bf81-7e5e5b780129-300x271.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/f280e5d6-7150-40d3-bf81-7e5e5b780129-1024x925.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/f280e5d6-7150-40d3-bf81-7e5e5b780129-768x694.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/f280e5d6-7150-40d3-bf81-7e5e5b780129-13x12.png 13w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<p><strong>Pentru \u00een\u021belegerea multimodal\u0103,<\/strong> Janus-Pro-7B a ob\u021binut primul loc \u00een patru din cele \u0219apte seturi de date de evaluare \u0219i locul al doilea \u00een celelalte trei, u\u0219or \u00een urma modelului clasat pe primul loc.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"1062\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/782c767f-e8d3-4d5c-9e2d-638c102f7dff.png\" alt=\"\" class=\"wp-image-865\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/782c767f-e8d3-4d5c-9e2d-638c102f7dff.png 1080w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/782c767f-e8d3-4d5c-9e2d-638c102f7dff-300x295.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/782c767f-e8d3-4d5c-9e2d-638c102f7dff-1024x1007.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/782c767f-e8d3-4d5c-9e2d-638c102f7dff-768x755.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/782c767f-e8d3-4d5c-9e2d-638c102f7dff-12x12.png 12w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<p><strong>Pentru generarea de imagini,<\/strong> Janus-Pro-7B a ob\u021binut primul loc \u00een scorul general at\u00e2t pentru seturile de date de evaluare GenEval, c\u00e2t \u0219i DPG-Bench.<\/p>\n\n\n\n<p>Acest efect multitasking se datoreaz\u0103 \u00een principal utiliz\u0103rii de c\u0103tre seria Janus a doi codificatori vizuali pentru sarcini diferite:<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u00cen\u021belegerea codificatorului:<\/strong> utilizate pentru a extrage caracteristici semantice din imagini pentru sarcini de \u00een\u021belegere a imaginilor (cum ar fi \u00eentreb\u0103ri \u0219i r\u0103spunsuri la imagini, clasificare vizual\u0103 etc.).<\/li>\n\n\n\n<li><strong>Codificator generativ:<\/strong> converte\u0219te imaginile \u00eentr-o reprezentare discret\u0103 (de exemplu, utiliz\u00e2nd un codificator VQ) pentru sarcini de generare text-imagine.<\/li>\n<\/ol>\n\n\n\n<p>Cu aceast\u0103 arhitectur\u0103,<strong> modelul poate optimiza \u00een mod independent performan\u021ba fiec\u0103rui codificator, astfel \u00eenc\u00e2t sarcinile de \u00een\u021belegere \u0219i generare multimodal\u0103 s\u0103 poat\u0103 ob\u021bine fiecare cea mai bun\u0103 performan\u021b\u0103.<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"565\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/81defdea-eadb-4fc7-8395-4c365c44d502.png\" alt=\"\" class=\"wp-image-860\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/81defdea-eadb-4fc7-8395-4c365c44d502.png 1080w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/81defdea-eadb-4fc7-8395-4c365c44d502-300x157.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/81defdea-eadb-4fc7-8395-4c365c44d502-1024x536.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/81defdea-eadb-4fc7-8395-4c365c44d502-768x402.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/81defdea-eadb-4fc7-8395-4c365c44d502-18x9.png 18w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<p><strong>Aceast\u0103 arhitectur\u0103 decuplat\u0103 este comun\u0103 pentru Janus-Pro \u0219i Janus. Deci, ce itera\u021bii a avut Janus-Pro \u00een ultimele c\u00e2teva luni?<\/strong><\/p>\n\n\n\n<p>Dup\u0103 cum se poate observa din rezultatele setului de evaluare, versiunea actual\u0103 a Janus-Pro-1B are o \u00eembun\u0103t\u0103\u021bire de aproximativ 10% p\u00e2n\u0103 la 20% \u00een scorurile diferitelor seturi de evaluare \u00een compara\u021bie cu versiunea anterioar\u0103 Janus. Janus-Pro-7B are cea mai mare \u00eembun\u0103t\u0103\u021bire de aproximativ 45% comparativ cu Janus dup\u0103 extinderea num\u0103rului de parametri.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"185\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/746d1d6f-9a07-4922-9b59-717614ef0738.png\" alt=\"\" class=\"wp-image-858\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/746d1d6f-9a07-4922-9b59-717614ef0738.png 1080w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/746d1d6f-9a07-4922-9b59-717614ef0738-300x51.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/746d1d6f-9a07-4922-9b59-717614ef0738-1024x175.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/746d1d6f-9a07-4922-9b59-717614ef0738-768x132.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/746d1d6f-9a07-4922-9b59-717614ef0738-18x3.png 18w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"430\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/9361ef86-87ce-4f84-9cdd-71ef95a9f4b1.png\" alt=\"\" class=\"wp-image-864\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/9361ef86-87ce-4f84-9cdd-71ef95a9f4b1.png 1080w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/9361ef86-87ce-4f84-9cdd-71ef95a9f4b1-300x119.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/9361ef86-87ce-4f84-9cdd-71ef95a9f4b1-1024x408.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/9361ef86-87ce-4f84-9cdd-71ef95a9f4b1-768x306.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/9361ef86-87ce-4f84-9cdd-71ef95a9f4b1-18x7.png 18w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<p>\u00cen ceea ce prive\u0219te detaliile de formare, raportul tehnic afirm\u0103 c\u0103 versiunea actual\u0103 a Janus-Pro, \u00een compara\u021bie cu modelul Janus anterior, p\u0103streaz\u0103 designul arhitecturii de baz\u0103 decuplate \u0219i, \u00een plus, itera pe<strong> dimensiunea parametrilor, strategia de formare \u0219i datele de formare.<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"First_lets_look_at_the_parameters\"><\/span><strong>\u00cen primul r\u00e2nd, s\u0103 ne uit\u0103m la parametri<\/strong>.<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Prima versiune a Janus avea doar 1,3B parametri, iar versiunea actual\u0103 a Pro include modele cu 1B \u0219i 7B parametri.<\/p>\n\n\n\n<p>Aceste dou\u0103 dimensiuni reflect\u0103 scalabilitatea arhitecturii Janus. Modelul 1B, care este cel mai u\u0219or, a fost deja utilizat de utilizatori externi pentru a rula \u00een browser utiliz\u00e2nd WebGPU.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"There_is_also_the_training_strategy\"><\/span><strong>Exist\u0103, de asemenea <\/strong><strong>a<\/strong><strong> strategia de formare.<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>\u00cen conformitate cu diviziunea fazei de formare a Janus, Janus Pro are un total de trei faze de formare, iar lucrarea le \u00eemparte direct \u00een Etapa I, Etapa II \u0219i Etapa III.<\/p>\n\n\n\n<p>P\u0103str\u00e2nd ideile de baz\u0103 \u0219i obiectivele de formare ale fiec\u0103rei etape, Janus-Pro a adus \u00eembun\u0103t\u0103\u021biri duratei \u0219i datelor de formare \u00een cele trei etape. Urm\u0103toarele sunt \u00eembun\u0103t\u0103\u021birile specifice celor trei etape:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Stage_I_%E2%80%93_Longer_training_time\"><\/span><strong>Etapa I - Timp de formare mai lung<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>\u00cen compara\u021bie cu Janus, Janus-Pro a prelungit timpul de formare \u00een etapa I, \u00een special \u00een formarea adaptoarelor \u0219i a capetelor de imagine \u00een partea vizual\u0103. Aceasta \u00eenseamn\u0103 c\u0103 \u00eenv\u0103\u021barea caracteristicilor vizuale a beneficiat de mai mult timp de formare \u0219i se sper\u0103 c\u0103 modelul poate \u00een\u021belege pe deplin caracteristicile detaliate ale imaginilor (cum ar fi cartografierea pixel-semantic\u0103).<\/p>\n\n\n\n<p>Aceast\u0103 formare extins\u0103 contribuie la asigurarea faptului c\u0103 formarea p\u0103r\u021bii vizuale nu este perturbat\u0103 de alte module.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Stage_II_%E2%80%93_Removing_ImageNet_data_and_adding_multi-modal_data\"><\/span><strong>Etapa II - Eliminarea datelor ImageNet \u0219i ad\u0103ugarea de date multimodale<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>\u00cen etapa II, Janus s-a referit anterior la PixArt \u0219i s-a antrenat \u00een dou\u0103 p\u0103r\u021bi. Prima parte a fost antrenat\u0103 utiliz\u00e2nd setul de date ImageNet pentru sarcina de clasificare a imaginilor, iar a doua parte a fost antrenat\u0103 utiliz\u00e2nd date obi\u0219nuite text-imagine. Aproximativ dou\u0103 treimi din timpul petrecut \u00een etapa II a fost alocat antrenamentului \u00een prima parte.<\/p>\n\n\n\n<p>Janus-Pro elimin\u0103 instruirea ImageNet \u00een etapa II. Acest design permite modelului s\u0103 se concentreze asupra datelor text-imagine \u00een timpul etapei II de formare. Conform rezultatelor experimentale, acest lucru poate \u00eembun\u0103t\u0103\u021bi semnificativ utilizarea datelor text-imagine.<\/p>\n\n\n\n<p>\u00cen plus fa\u021b\u0103 de ajustarea concep\u021biei metodei de formare, setul de date de formare utilizat \u00een etapa II nu se mai limiteaz\u0103 la o singur\u0103 sarcin\u0103 de clasificare a imaginilor, ci include \u0219i alte tipuri de date multimodale, cum ar fi descrierea imaginilor \u0219i dialogul, pentru formarea comun\u0103.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Stage_III_%E2%80%93_Optimizing_the_data_ratio\"><\/span><strong>Etapa III - Optimizarea raportului de date<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>\u00cen etapa III de formare, Janus-Pro ajusteaz\u0103 raportul dintre diferitele tipuri de date de formare.<\/p>\n\n\n\n<p>Anterior, raportul dintre datele de \u00een\u021belegere multimodal\u0103, datele de text simplu \u0219i datele text-imagine \u00een datele de instruire utilizate de Janus \u00een etapa III a fost de 7:3:10. Janus-Pro reduce raportul dintre ultimele dou\u0103 tipuri de date \u0219i ajusteaz\u0103 raportul dintre cele trei tipuri de date la 5:1:4, adic\u0103 acord\u0103 mai mult\u0103 aten\u021bie sarcinii de \u00een\u021belegere multimodal\u0103.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Lets_look_at_the_training_data\"><\/span><strong>S\u0103 ne uit\u0103m la datele de antrenament.<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>\u00cen compara\u021bie cu Janus, Janus-Pro cre\u0219te \u00een mod semnificativ de aceast\u0103 dat\u0103 cantitatea de<strong> date sintetice.<\/strong><\/p>\n\n\n\n<p>Aceasta extinde cantitatea \u0219i varietatea de date de instruire pentru \u00een\u021belegerea multimodal\u0103 \u0219i generarea de imagini.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Expansion_of_multimodal_understanding_data\"><\/span><strong>Extinderea datelor de \u00een\u021belegere multimodal\u0103:<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>Janus-Pro se refer\u0103 la setul de date DeepSeek-VL2 \u00een timpul antrenamentului \u0219i adaug\u0103 aproximativ 90 de milioane de puncte de date suplimentare, inclusiv nu numai seturi de date de descriere a imaginilor, ci \u0219i seturi de date de scene complexe, cum ar fi tabele, grafice \u0219i documente.<\/p>\n\n\n\n<p>\u00cen timpul etapei de reglaj fin supervizat (etapa III), se continu\u0103 ad\u0103ugarea de seturi de date legate de \u00eembun\u0103t\u0103\u021birea experien\u021bei de \u00een\u021belegere \u0219i dialog (inclusiv dialogul chinezesc) a MEME.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Expansion_of_visual_generation_data\"><\/span><strong>Extinderea datelor de generare vizual\u0103:<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>Datele originale din lumea real\u0103 aveau o calitate slab\u0103 \u0219i niveluri ridicate de zgomot, ceea ce f\u0103cea ca modelul s\u0103 produc\u0103 rezultate instabile \u0219i imagini de calitate estetic\u0103 insuficient\u0103 \u00een sarcinile de transformare a textului \u00een imagine.<\/p>\n\n\n\n<p>Janus-Pro a ad\u0103ugat aproximativ 72 de milioane de noi date sintetice de \u00eenalt\u0103 estetic\u0103 la faza de formare, aduc\u00e2nd raportul dintre datele reale \u0219i datele sintetice \u00een faza de preformare la 1:1.<\/p>\n\n\n\n<p>Solicit\u0103rile pentru datele sintetice au fost toate preluate din resurse publice. Experimentele au ar\u0103tat c\u0103 ad\u0103ugarea acestor date face ca modelul s\u0103 converge mai rapid, iar imaginile generate au \u00eembun\u0103t\u0103\u021biri evidente \u00een ceea ce prive\u0219te stabilitatea \u0219i frumuse\u021bea vizual\u0103.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_continuation_of_an_efficiency_revolution\"><\/span>Continuarea unei revolu\u021bii a eficien\u021bei?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u00cen general, cu aceast\u0103 versiune, DeepSeek a adus revolu\u021bia eficien\u021bei \u00een modelele vizuale.<\/p>\n\n\n\n<p>Spre deosebire de modelele vizuale care se concentreaz\u0103 pe o singur\u0103 func\u021bie sau de modelele multimodale care favorizeaz\u0103 o sarcin\u0103 specific\u0103, Janus-Pro echilibreaz\u0103 efectele celor dou\u0103 sarcini majore de generare a imaginilor \u0219i de \u00een\u021belegere multimodal\u0103 \u00een acela\u0219i model.<\/p>\n\n\n\n<p>\u00cen plus, \u00een ciuda parametrilor s\u0103i mici, acesta a dep\u0103\u0219itOpenAI DALL-E 3 \u0219i SD3-Medium \u00een evaluare.<\/p>\n\n\n\n<p>Extins\u0103 la sol, \u00eentreprinderea trebuie doar s\u0103 implementeze un model pentru a implementa direct cele dou\u0103 func\u021bii de generare \u0219i \u00een\u021belegere a imaginilor. Cuplat cu o dimensiune de numai 7B, dificultatea \u0219i costul de implementare sunt mult mai mici.<\/p>\n\n\n\n<p>\u00cen leg\u0103tur\u0103 cu lans\u0103rile anterioare ale R1 \u0219i V3, DeepSeek sfideaz\u0103 regulile existente ale jocului cu<strong> \"inova\u021bie arhitectural\u0103 compact\u0103, modele u\u0219oare, modele open source \u0219i costuri de formare foarte sc\u0103zute\"<\/strong>. Acesta este motivul panicii \u00een r\u00e2ndul gigan\u021bilor tehnologici occidentali \u0219i chiar pe Wall Street.<\/p>\n\n\n\n<p>Chiar acum, Sam Altman, care a fost m\u0103turat de opinia public\u0103 timp de c\u00e2teva zile, a r\u0103spuns \u00een cele din urm\u0103 pozitiv la informa\u021biile despre DeepSeek pe X - \u00een timp ce l\u0103uda R1, a spus c\u0103 OpenAI va face unele anun\u021buri.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1051\" height=\"1280\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/ade0e532-b451-4eff-832f-dcf20cff8f64.png\" alt=\"\" class=\"wp-image-868\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/ade0e532-b451-4eff-832f-dcf20cff8f64.png 1051w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/ade0e532-b451-4eff-832f-dcf20cff8f64-246x300.png 246w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/ade0e532-b451-4eff-832f-dcf20cff8f64-841x1024.png 841w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/ade0e532-b451-4eff-832f-dcf20cff8f64-768x935.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/02\/ade0e532-b451-4eff-832f-dcf20cff8f64-10x12.png 10w\" sizes=\"auto, (max-width: 1051px) 100vw, 1051px\" \/><\/figure>","protected":false},"excerpt":{"rendered":"<p>DeepSeek \u0219i-a actualizat site-ul web. \u00cen primele ore ale nop\u021bii de Anul Nou, DeepSeek a anun\u021bat brusc pe GitHub c\u0103 spa\u021biul proiectului Janus a deschis sursa modelului Janus-Pro \u0219i a raportului tehnic. Mai \u00eent\u00e2i, s\u0103 subliniem c\u00e2teva puncte cheie: Acesta este destinat s\u0103 rezolve problema dificil\u0103 a industriei: echilibrarea \u00een\u021belegerii multimodale \u0219i a gener\u0103rii de imagini Conform...<\/p>","protected":false},"author":2,"featured_media":704,"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-857","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/posts\/857","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=857"}],"version-history":[{"count":1,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/posts\/857\/revisions"}],"predecessor-version":[{"id":870,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/posts\/857\/revisions\/870"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/media\/704"}],"wp:attachment":[{"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/media?parent=857"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/categories?post=857"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/janusai.pro\/ro\/wp-json\/wp\/v2\/tags?post=857"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}