{"id":686,"date":"2025-01-29T07:35:31","date_gmt":"2025-01-29T07:35:31","guid":{"rendered":"https:\/\/janusai.pro\/?p=686"},"modified":"2025-01-29T07:37:05","modified_gmt":"2025-01-29T07:37:05","slug":"i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive","status":"publish","type":"post","link":"https:\/\/janusai.pro\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/","title":{"rendered":"Jeg destillerede DeepSeek-R1's viden om r\u00e6sonneringsevne til Qwen2, og resultaterne var virkelig eksplosive!!!"},"content":{"rendered":"<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div>\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\">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\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#%E2%85%A0_What_is_knowledge_distillation\" title=\"\u2160. Hvad er vidensdestillation?\">\u2160. Hvad er vidensdestillation?<\/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\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#IICore_concepts\" title=\"II. centrale begreber\">II. centrale begreber<\/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\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#21_Template_design\" title=\"2.1 Design af skabelon\">2.1 Design af skabelon<\/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\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#22_Reasoning_trajectory_The_%E2%80%9Cthinking_chain%E2%80%9D_of_the_models_solution\" title=\"2.2 R\u00e6sonnementets bane: &quot;T\u00e6nkek\u00e6den&quot; for modellens l\u00f8sning\">2.2 R\u00e6sonnementets bane: \"T\u00e6nkek\u00e6den\" i modellens l\u00f8sning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/janusai.pro\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#23_Rejection_sampling_Filtering_good_data_from_%E2%80%9Ctrial_and_error\" title=\"2.3 Afvisning af pr\u00f8veudtagning: Filtrering af gode data fra &quot;trial and error\">2.3 Afvisning af pr\u00f8veudtagning: Filtrering af gode data fra \"trial and error<\/a><\/li><\/ul><\/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\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#%E2%85%A2Generation_of_distilled_data\" title=\"Generering af destillerede data\">Generering af destillerede data<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/janusai.pro\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#Data_sources\" title=\"Datakilder:\">Datakilder:<\/a><\/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\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#Distillation_data_generation_process\" title=\"Proces til generering af destillationsdata:\">Proces til generering af destillationsdata:<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/janusai.pro\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#%E2%85%A3Distillation_process\" title=\"\u2163.Destillationsproces\">\u2163.Destillationsproces<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/janusai.pro\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#Teacher_and_student_roles\" title=\"L\u00e6rer- og elevroller:\">L\u00e6rer- og elevroller:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/janusai.pro\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#Training_steps\" title=\"Tr\u00e6ningstrin:\">Tr\u00e6ningstrin:<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/janusai.pro\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#%E2%85%A4_Example_demonstration\" title=\"\u2164. Eksempel p\u00e5 demonstration\">\u2164. Eksempel p\u00e5 demonstration<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/janusai.pro\/da\/i-distilled-deepseek-r1s-reasoning-ability-knowledge-into-qwen2-and-the-results-were-really-explosive\/#%E2%85%A5_Summary\" title=\"\u2165. Sammenfatning\">\u2165. Sammenfatning<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%E2%85%A0_What_is_knowledge_distillation\"><\/span><strong>\u2160. <\/strong>Hvad er vidensdestillation?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Vidensdestillation er en modelkomprimeringsteknik, der bruges til at overf\u00f8re viden fra en stor, kompleks model (l\u00e6rermodellen) til en lille model (elevmodellen). <\/p>\n\n\n\n<p>Det centrale princip er, at l\u00e6rermodellen underviser elevmodellen ved at forudsige resultater (f.eks. sandsynlighedsfordelinger eller slutningsprocesser), og elevmodellen forbedrer sin pr\u00e6station ved at l\u00e6re af disse forudsigelser. <\/p>\n\n\n\n<p>Denne metode er s\u00e6rligt velegnet til enheder med begr\u00e6nsede ressourcer, som f.eks. mobiltelefoner eller indlejrede enheder.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"IICore_concepts\"><\/span>II. centrale begreber<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"21_Template_design\"><\/span>2.1 Design af skabelon<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Skabelon: Et struktureret format, der bruges til at standardisere modeloutput. For eksempel\n<ul class=\"wp-block-list\">\n<li>: Markerer begyndelsen p\u00e5 r\u00e6sonnementsprocessen.<\/li>\n\n\n\n<li>: Markerer afslutningen p\u00e5 r\u00e6sonnementsprocessen.<\/li>\n\n\n\n<li>: Markerer begyndelsen af det endelige svar.<\/li>\n\n\n\n<li>: Markerer afslutningen p\u00e5 det endelige svar.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Funktion:\n<ul class=\"wp-block-list\">\n<li>Klarhed: Ligesom \"sp\u00f8rgeordene\" i et udfyldningssp\u00f8rgsm\u00e5l fort\u00e6ller det modellen, at \"t\u00e6nkeprocessen foreg\u00e5r her, og svaret foreg\u00e5r der.\"<\/li>\n\n\n\n<li>Konsistens: Sikrer, at alle outputs f\u00f8lger samme struktur, hvilket letter efterf\u00f8lgende behandling og analyse.<\/li>\n\n\n\n<li>L\u00e6sbarhed: Mennesker kan nemt skelne mellem r\u00e6sonnementsprocessen og svaret, hvilket forbedrer brugeroplevelsen.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"22_Reasoning_trajectory_The_%E2%80%9Cthinking_chain%E2%80%9D_of_the_models_solution\"><\/span>2.2 R\u00e6sonnementets bane: \"T\u00e6nkek\u00e6den\" i modellens l\u00f8sning<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>R\u00e6sonnementets bane: De detaljerede trin, som modellen genererer, n\u00e5r den l\u00f8ser et problem, viser modellens logiske k\u00e6de.<\/li>\n\n\n\n<li>Et eksempel:<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"759\" height=\"290\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/b8eff676-f9d7-436c-9ee7-1e423242825d.png\" alt=\"\" class=\"wp-image-689\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/b8eff676-f9d7-436c-9ee7-1e423242825d.png 759w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/b8eff676-f9d7-436c-9ee7-1e423242825d-300x115.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/b8eff676-f9d7-436c-9ee7-1e423242825d-18x7.png 18w\" sizes=\"auto, (max-width: 759px) 100vw, 759px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"23_Rejection_sampling_Filtering_good_data_from_%E2%80%9Ctrial_and_error\"><\/span>2.3 Afvisning af pr\u00f8veudtagning: Filtrering af gode data fra \"trial and error<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Afvisning af pr\u00f8ver: Generer flere kandidatsvar og behold de gode, ligesom n\u00e5r man skriver en kladde og derefter kopierer det rigtige svar i en eksamen.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%E2%85%A2Generation_of_distilled_data\"><\/span>Generering af destillerede data<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Det f\u00f8rste skridt i vidensdestillation er at generere \"undervisningsdata\" af h\u00f8j kvalitet, som sm\u00e5 modeller kan l\u00e6re af.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Data_sources\"><\/span><strong>Datakilder<\/strong>:<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>80% fra de r\u00e6sonnerende data genereret af <a href=\"https:\/\/huggingface.co\/deepseek-ai\/DeepSeek-R1\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">DeepSeek-R1<\/a><\/li>\n\n\n\n<li>20% fra DeepSeek-V3 generelle opgavedata.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Distillation_data_generation_process\"><\/span><strong>Proces til generering af destillationsdata<\/strong>:<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Filtrering af regler<\/strong>: kontrollerer automatisk svarets korrekthed (f.eks. om det matematiske svar er i overensstemmelse med formlen).<\/li>\n\n\n\n<li><strong>Tjek af l\u00e6sbarhed<\/strong>: eliminerer blandede sprog (f.eks. kinesisk og engelsk blandet) eller lange afsnit.<\/li>\n\n\n\n<li><strong>Skabelonstyret generering<\/strong>: kr\u00e6ver, at DeepSeek-R1 udsender slutningsbaner i henhold til skabelonen.<\/li>\n\n\n\n<li><strong>Filtrering af afvisningspr\u00f8ver<\/strong>:<\/li>\n\n\n\n<li><strong>Integration af data<\/strong>Til sidst blev der genereret 800.000 pr\u00f8ver af h\u00f8j kvalitet, herunder ca. 600.000 inferensdata og ca. 200.000 generelle data.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%E2%85%A3Distillation_process\"><\/span>\u2163.Destillationsproces<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Teacher_and_student_roles\"><\/span>L\u00e6rer- og elevroller:<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>DeepSeek-R1 som l\u00e6rermodel;<\/li>\n\n\n\n<li>Modeller i Qwen-serien som elevmodel.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Training_steps\"><\/span>Tr\u00e6ningstrin:<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>F\u00f8rst datainput: Du skal indtaste sp\u00f8rgsm\u00e5lsdelen af de 800.000 pr\u00f8ver i Qwen-modellen og bede den om at generere en komplet slutningsbane (tankeproces + svar) i henhold til skabelonen. Dette er et meget vigtigt trin<\/p>\n\n\n\n<p>Dern\u00e6st tabsberegning: Sammenlign det output, der genereres af elevmodellen, med l\u00e6rermodellens inferensbane, og juster tekstsekvensen gennem supervised fine-tuning (SFT). Hvis du ikke er sikker p\u00e5, hvad SFT er, h\u00e5ber jeg, at du vil s\u00f8ge efter dette n\u00f8gleord for at l\u00e6re mere<\/p>\n\n\n\n<p>Gennemf\u00f8r parameteropdateringer for elevens st\u00f8rre model: Optimer Qwen-modellens parametre gennem backpropagation for at tiln\u00e6rme sig l\u00e6rermodellens output.<\/p>\n\n\n\n<p>Ved at gentage denne tr\u00e6ningsproces flere gange sikres det, at viden overf\u00f8res i tilstr\u00e6kkelig grad. P\u00e5 den m\u00e5de opn\u00e5s det oprindelige m\u00e5l med tr\u00e6ningen. Vi vil give dig et eksempel for at demonstrere dette, og vi h\u00e5ber, at du vil forst\u00e5 det<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%E2%85%A4_Example_demonstration\"><\/span>\u2164. Eksempel p\u00e5 demonstration<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Artiklen demonstrerer destillationseffekten gennem en specifik ligningsl\u00f8sningsopgave (solve equation):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Standardoutput fra l\u00e6rermodellen:<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"771\" height=\"328\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/3a53b6a8-36d2-4251-ab0f-8646d7646352.png\" alt=\"\" class=\"wp-image-690\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/3a53b6a8-36d2-4251-ab0f-8646d7646352.png 771w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/3a53b6a8-36d2-4251-ab0f-8646d7646352-300x128.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/3a53b6a8-36d2-4251-ab0f-8646d7646352-768x327.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/3a53b6a8-36d2-4251-ab0f-8646d7646352-18x8.png 18w\" sizes=\"auto, (max-width: 771px) 100vw, 771px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Qwen-7B output f\u00f8r destillation:<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"766\" height=\"178\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/51c44a52-01a0-474a-8d47-5483613286fb.png\" alt=\"\" class=\"wp-image-688\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/51c44a52-01a0-474a-8d47-5483613286fb.png 766w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/51c44a52-01a0-474a-8d47-5483613286fb-300x70.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/51c44a52-01a0-474a-8d47-5483613286fb-18x4.png 18w\" sizes=\"auto, (max-width: 766px) 100vw, 766px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Qwen-7B output efter destillation:<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"759\" height=\"260\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/61c7fb80-d903-4339-971c-9613b5ac199c.png\" alt=\"\" class=\"wp-image-687\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/61c7fb80-d903-4339-971c-9613b5ac199c.png 759w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/61c7fb80-d903-4339-971c-9613b5ac199c-300x103.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/61c7fb80-d903-4339-971c-9613b5ac199c-18x6.png 18w\" sizes=\"auto, (max-width: 759px) 100vw, 759px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Optimeret l\u00f8sning: Der genereres en struktureret slutningsproces, og svaret er det samme som l\u00e6rermodellen.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%E2%85%A5_Summary\"><\/span>\u2165. Sammenfatning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Gennem vidensdestillation overf\u00f8res DeepSeek-R1's slutningsevne effektivt til Qwen-serien af sm\u00e5 modeller. Denne proces fokuserer p\u00e5 templated output og rejection sampling. Gennem struktureret datagenerering og raffineret tr\u00e6ning kan sm\u00e5 modeller ogs\u00e5 udf\u00f8re komplekse inferensopgaver i ressourcebegr\u00e6nsede scenarier. Denne teknologi giver en vigtig reference til letv\u00e6gtsudrulning af AI-modeller.<\/p>","protected":false},"excerpt":{"rendered":"<p>\u2160. Hvad er vidensdestillation? Vidensdestillation er en modelkomprimeringsteknik, der bruges til at overf\u00f8re viden fra en stor, kompleks model (l\u00e6rermodellen) til en lille model (elevmodellen). Kerneprincippet er, at l\u00e6rermodellen underviser elevmodellen ved at forudsige resultater (som f.eks. sandsynlighedsfordelinger eller slutningsprocesser), og...<\/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-686","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/posts\/686","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/comments?post=686"}],"version-history":[{"count":2,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/posts\/686\/revisions"}],"predecessor-version":[{"id":692,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/posts\/686\/revisions\/692"}],"wp:attachment":[{"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/media?parent=686"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/categories?post=686"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/tags?post=686"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}