{"id":14009,"date":"2026-08-11T19:31:31","date_gmt":"2026-08-11T17:31:31","guid":{"rendered":"https:\/\/geopard.tech\/?p=14009"},"modified":"2026-08-12T10:50:26","modified_gmt":"2026-08-12T08:50:26","slug":"di-modelis-ir-sluoksniai","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lt\/blog\/ai-model-vs-layers\/","title":{"rendered":"Modelis yra ma\u017eiau svarbus nei j\u012f supantys sluoksniai"},"content":{"rendered":"<p><em>Dzmitry Yablonski, GeoPard Agriculture CTO<\/em><\/p>\n<p>Pra\u0117jusi\u0105 savait\u0119 ka\u017ekas man\u0119s paklaus\u0117, kok\u012f model\u012f naudoja m\u016bs\u0173 dirbtinio intelekto agronomas. Tai da\u017eniausiai u\u017eduodamas techninis klausimas, ir da\u017eniausiai jis yra netinkamas prad\u0117ti.<\/p>\n<p>\u0160tai s\u0105\u017einingas atsakymas, o tada ir naudingesnis.<\/p>\n<h2>S\u0105\u017einingas atsakymas: keli<\/h2>\n<p>Kiekvien\u0105 u\u017eduot\u012f nukreipiame \u012f jai geriausiai tinkant\u012f model\u012f. Prakti\u0161kai tai rei\u0161kia atskirus kelius:<\/p>\n<ul>\n<li><strong>Geografinis samprotavimas.<\/strong> Zonos statistikos skaitymas, sluoksni\u0173 palyginimas, paai\u0161kinimas, kod\u0117l viena lauko dalis elgiasi kitaip nei kita.<\/li>\n<li><strong>\u012evertinkite matematik\u0105.<\/strong> Pa\u0161alinimo koeficientai, kritin\u0117s ribos, kaupimosi konvencijos, vienet\u0173 konvertavimas.<\/li>\n<li><strong>Pokalbis.<\/strong> Supratimas, k\u0105 agronomas i\u0161 tikr\u0173j\u0173 tur\u0117jo omenyje sakydamas pus\u0117s sakinio pra\u0161ym\u0105.<\/li>\n<li><strong>U\u017eduo\u010di\u0173 klasifikacija.<\/strong> Nuspr\u0119sti, kuriai darbo eigai priklauso u\u017eklausa, prie\u0161 k\u0105 nors kita atliekant.<\/li>\n<li><strong>Apsauginiai tur\u0117klai.<\/strong> Tikrinami rezultatai prie\u0161 jiems tampant artefaktais.<\/li>\n<\/ul>\n<p>N\u0117 vienas modelis n\u0117ra geriausias visose penkiose srityse. Tie, kurie gerai samprotauja netvarkingame erdviniame kontekste, ne visada i\u0161laiko aritmetin\u0119 disciplin\u0105. Tie, kurie bendrauja nat\u016braliai, ne visada patikimai klasifikuoja.<\/p>\n<p>Mar\u0161rut\u0173 lentel\u0117s neskelbiame, ir nenor\u0117dami b\u016bti drov\u016bs. Ji kei\u010diasi. Modelis i\u0161leid\u017eia duomenis kas kelis m\u0117nesius, ir kiekvienas i\u0161 j\u0173 pakei\u010dia vieno ar dviej\u0173 t\u0173 mar\u0161rut\u0173 balans\u0105. Atsakymo u\u017e\u0161aldymas tinklara\u0161\u010dio \u012fra\u0161e iki rudens j\u012f padaryt\u0173 neteisingu.<\/p>\n<h2>Naudingesnis atsakymas: sluoksniai<\/h2>\n<p>Jei rytoj pakeistum\u0117te m\u016bs\u0173 modelius kitu pasienio rinkiniu, produktas vis tiek veikt\u0173 ir vis tiek b\u016bt\u0173 atpa\u017e\u012fstamai m\u016bs\u0173. Toks yra dizaino tikslas, ir verta paai\u0161kinti, kod\u0117l.<\/p>\n<p>Agronomin\u0117 rekomendacija n\u0117ra tekstinis atsakymas. Tai skai\u010dius, kuris patenka \u012f ma\u0161inos terminal\u0105 ir yra taikomas laukui. Atstumas tarp \u0161i\u0173 dviej\u0173 dalyk\u0173 ir yra ta vieta, kur i\u0161 tikr\u0173j\u0173 gl\u016bdi in\u017einerija.<\/p>\n<p>Paimkime betono gedimo klas\u0119. Modelis gali pateikti puikiai pagr\u012fst\u0105 fosforo norm\u0105 svarais fosforo.<sub>2<\/sub>O<sub>5<\/sub> u\u017e akr\u0105. Teisingas pa\u0161alinimo koeficientas, teisinga riba, teisinga kaupimo logika. Tada norma pridedama prie produkto, kuris sudaro 4 procentus fosforo.<sub>2<\/sub>O<sub>5<\/sub>, o barstytuvas j\u012f gauna kaip produkto norm\u0105. Planas buvo teisingas. Paskleidimo da\u017enis neatitinka normos daugiau nei vienu dyd\u017eiu.<\/p>\n<p>Jokia modelio kokyb\u0117 to netrukdo. Konversijos sluoksnis tai daro.<\/p>\n<p>Tas pats pasakytina ir apie vienet\u0173 sistemas, reglamentuojamas normas, dirvo\u017eemio tyrim\u0173 vertes, vir\u0161 kuri\u0173 agronomi\u0161kai teisinga norma yra lygi nuliui, skirtum\u0105 tarp to, k\u0105 prane\u0161a laboratorija, ir to, ko tikimasi pagal lygt\u012f. Tai n\u0117ra samprotavimo problemos. Tai sistemin\u0117s problemos, ir jos lemia, ar rekomendacija yra saugi.<\/p>\n<p>Taigi, sluoksniai aplink model\u012f atlieka svarb\u0173 darb\u0105.<\/p>\n<p><strong>\u012e\u017eeminimas.<\/strong> Asistentas nuskaito kliento duomenis. J\u0173 dirvo\u017eemio tyrimus, nuvalyt\u0105 derli\u0173, topografij\u0105, panaudot\u0173 augal\u0173 istorij\u0105. Ne bendr\u0105 agronomijos vaizd\u0105, o j\u0173 pa\u010di\u0173.<\/p>\n<p><strong>Ai\u0161k\u016bs parametrai.<\/strong> Kiekvienas koeficientas, slenkstis ir konvencija, naudojami normai apskai\u010diuoti, yra pateikiami ir redaguojami prie\u0161 generavim\u0105. Jei agronomas nesutinka su prielaida, jis j\u0105 pakei\u010dia. Skai\u010dius, kurio vartotojas negali patikrinti, yra skai\u010dius, kurio jis negali valdyti.<\/p>\n<p><strong>Deterministin\u0117 matematika.<\/strong> Skai\u010diavimas atliekamas kodu, o ne proza. Modelis nusprend\u017eia, k\u0105 ir kod\u0117l apskai\u010diuoti. Jis neatlieka aritmetikos.<\/p>\n<p><strong>Patvirtinimas prie\u0161 generavim\u0105.<\/strong> Prie\u0161 sukuriant vien\u0105 \u017eem\u0117lap\u012f, planai yra patikrinami pagal regiono agronomines taisykles ir kliento \u012f savo \u017eini\u0173 baz\u0119 \u012ftrauktas taisykles.<\/p>\n<p><strong>\u017dmogaus pritarimas.<\/strong> Niekas nepasiekia ma\u0161inos, kol \u017emogus nepasira\u0161o. Tai n\u0117ra UX nuolaida. Tai paskutinis ir svarbiausias sluoksnis.<\/p>\n<figure><img loading=\"lazy\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2026\/08\/geopard_layers_square.jpg?w=1200&#038;quality=90&#038;ssl=1\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2026\/08\/geopard_layers_square.jpg?w=600&#038;quality=90&#038;ssl=1 600w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2026\/08\/geopard_layers_square.jpg?w=1200&#038;quality=90&#038;ssl=1 1200w\" sizes=\"auto, (max-width: 820px) 100vw, 760px\" alt=\"\u201eGeoPard AI Assistant\u201c sluoksni\u0173 rinkinys: klausimas, pagal u\u017eduot\u012f nukreiptas modelis, \u012f\u017eeminimas, ai\u0161k\u016bs parametrai, deterministin\u0117 matematika, patvirtinimas, \u017emogaus patvirtinimas, nurodymo pasiekimas ma\u0161in\u0105\" width=\"1200\" height=\"1200\" decoding=\"async\" \/><\/figure>\n<h2>K\u0105 mes vertiname<\/h2>\n<p>D\u0117l viso to, kas i\u0161d\u0117styta pirmiau, modelio vertinimas atskirai mums pasako labai ma\u017eai.<\/p>\n<p>Auk\u0161tas agronomijos atsakym\u0173 variant\u0173 balas rodo, kad modelis perskait\u0117 vadov\u0117lius. Tai nepasako, ar sistema teisingai konvertuos maistini\u0173 med\u017eiag\u0173 norm\u0105 \u012f produkto norm\u0105, ar atsisakys rekomenduoti fosfor\u0105 lauke, kuriame jo kiekis jau yra didelis, arba pasteb\u0117s, kad dirvo\u017eemio ataskaita buvo gauta kitu ekstrahavimo metodu, nei numato lygtis.<\/p>\n<p>Taigi, mes vertiname sistem\u0105 nuo prad\u017eios iki galo. Ar ji i\u0161 kliento s\u0105skaitos paima tinkamus sluoksnius. Ar ji naudoja pagr\u012fstus koeficientus. Ar ji pateikia savo samprotavimus. Ar ji pastebi savo klaidas, kol jos nepalieka pastato. Tai sunkiau apibendrinti iki vieno skai\u010diaus, tod\u0117l manome, kad tai yra teisingas dalykas, kur\u012f reikia i\u0161matuoti.<\/p>\n<h2>Atsine\u0161kite savo model\u012f<\/h2>\n<p>Naudodamiesi MCP, galite nukreipti savo model\u012f \u012f savo \u201eGeoPard\u201c duomenis ir tiesiogiai u\u017eduoti klausimus apie savo laukus. Kai kurie m\u016bs\u0173 techniniai vartotojai jau tai daro, ir mes manome, kad tai yra gerai. <a style=\"color:#15701e;text-decoration:underline;text-underline-offset:2px;font-weight:600\" href=\"https:\/\/docs.geopard.tech\/geopard-tutorials\/product-tour-web-app\/geopard-ai-assistant\">Dirbtinio intelekto asistento dokumentacija<\/a> apima, kaip tai veikia.<\/p>\n<p>Verta ai\u0161kiai pasakyti: taip darydami paveldite sluoksnius. \u012e\u017eeminim\u0105, parametr\u0173 skaidrum\u0105, vienet\u0173 disciplin\u0105, patvirtinim\u0105, patvirtinim\u0105. J\u0173 n\u0117ra modelyje. Tai dalis, kuri\u0105 ka\u017ekas turi sukurti.<\/p>\n<h2>Kod\u0117l tai statymas, o ne apsidraudimas<\/h2>\n<p>Modeli\u0173 galimyb\u0117s spar\u010diai tampa komercin\u0117s. Kas kelis m\u0117nesius riba kei\u010diasi ir visi gauna naujas grindis nemokamai. Statyti u\u017e vien\u0105 konkret\u0173 model\u012f rei\u0161kia statyti u\u017e laikin\u0105 prana\u0161um\u0105.<\/p>\n<p>Sluoksniai susijungia. Juose kaupiamos agronomin\u0117s taisykl\u0117s, regionin\u0117s konvencijos, klient\u0173 \u017einios ir visi m\u016bs\u0173 rasti ir i\u0161spr\u0119sti gedim\u0173 re\u017eimai. Naudojant tai ger\u0117ja ir neatsistato i\u0161 naujo, kai i\u0161siun\u010diamas naujas modelis.<\/p>\n<p>Tai ilgas kelias \u012f klausim\u0105: k\u0105 sistema veikia, jei atsakymas yra neteisingas. Tai pasako daugiau nei \u017einojimas, kuris modelis j\u0105 suk\u016br\u0117.<\/p>\n<p>\u0160tai asistentas, atliekantis b\u016btent tai \u2013 nuo klausimo iki eksportuoto recepto \u2013 per dvi minutes:<\/p>\n<div style=\"position:relative;padding-bottom:56.25%;height:0;overflow:hidden;border-radius:10px;margin:24px 0\"><iframe style=\"position:absolute;top:0;left:0;width:100%;height:100%;border:0\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/xzW4rK6_7M8\" title=\"Dirbtinio intelekto agronomas sukuria VRA recept\u0105 per 2 minutes | \u201eGeoPard AI\u201c\" loading=\"lazy\" allow=\"accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe><\/div>\n<p>Interaktyvi\u0105 versij\u0105, kurioje matomas kiekvienas samprotavimo \u017eingsnis, \u017er. <a style=\"color:#15701e;text-decoration:underline;text-underline-offset:2px;font-weight:600\" href=\"https:\/\/geopard.tech\/lt\/dirbtinis-intelektas\/\">\u201eGeoPard\u201c dirbtinio intelekto asistento puslapis<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Da\u017eniausias techninis klausimas, kur\u012f gauname, yra tai, koks modelis veikia m\u016bs\u0173 dirbtinio intelekto agronomo srityje, ir da\u017eniausiai tai netinkamas klausimas, nuo kurio prad\u0117ti. Svarbu tai, kokie sluoksniai j\u012f supa.<\/p>","protected":false},"author":210157629,"featured_media":14016,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1934,1935],"tags":[1940,1598,1936,1937,1938,1939],"class_list":["post-14009","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","category-ai","tag-architecture","tag-precision-agriculture","tag-ai-assistant","tag-llm","tag-agronomy","tag-mcp"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The model matters less than the layers around it | GeoPard<\/title>\n<meta name=\"description\" content=\"Which model powers our AI agronomist is the wrong question. 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