M\u0101ksl\u012bgais intelekts m\u016bsdien\u0101s ir visur t\u012bmek\u013ca izstr\u0101d\u0113 \u2014 no koda \u0123ener\u0113\u0161anas l\u012bdz satura un vizu\u0101lo materi\u0101lu veido\u0161anai. Aiz \u0161\u012bm iesp\u0113j\u0101m sl\u0113pjas pamatideju kopums, kas nosaka to, k\u0101 AI r\u012bki darbojas un rea\u0123\u0113. \u0160aj\u0101 ce\u013cved\u012b m\u0113s izskaidrosim svar\u012bg\u0101kos j\u0113dzienus un terminolo\u0123iju. <\/p>\n
Viena no svar\u012bg\u0101kaj\u0101m koncepcij\u0101m ir dabisk\u0101s valodas apstr\u0101de jeb NLP<\/strong> (Natural Language Processing). T\u0101 ir tehnolo\u0123ija, kas \u013cauj m\u0101ksl\u012bgajam intelektam saprast cilv\u0113ku valodu \u2014 neatkar\u012bgi no t\u0101, vai tu uzdod jaut\u0101jumu, apraksti funkcionalit\u0101ti vai l\u016bdz \u0123ener\u0113t saturu. <\/p>\n NLP \u013cauj AI saprast noz\u012bmi, kontekstu un nodomu, nevis str\u0101d\u0101t ar struktur\u0113t\u0101m komand\u0101m.T\u0101p\u0113c pietiek ierakst\u012bt, piem\u0113ram: \u201cIzveido respons\u012bvu cenu tabulu ar trim pl\u0101niem\u201d<\/em>, un ieg\u016bt darbojo\u0161os kodu vai izk\u0101rtojumu. AI nevis vienk\u0101r\u0161i atgrie\u017e gatavus fragmentus, bet p\u0101rv\u0113r\u0161 tavas instrukcijas lietojam\u0101 rezult\u0101t\u0101.. Sp\u0113ja \u201cnolas\u012bt\u201d un saprast cilv\u0113ka valodu ir pamats visiem AI r\u012bkiem, ko m\u016bsdien\u0101s izmanto t\u012bmek\u013ca izstr\u0101d\u0113. <\/p>\n NLP ir ar\u012b pamat\u0101 r\u012bkiem, kas apkopo dokument\u0101ciju, izskaidro sare\u017e\u0123\u012btu kodu vai p\u0101rraksta tekstu da\u017e\u0101dos stilos. Ikreiz, kad t\u016bs mijiedarbojaties ar AI dabisk\u0101 valod\u0101 \u2014 uzdodat jaut\u0101jumus vai dodat uzdevumus \u2014 J\u016bs izmantojat NLP darb\u012bb\u0101. <\/p>\n Uzvedne jeb prompt<\/strong> ir vienk\u0101r\u0161i instrukcija vai piepras\u012bjums, ko J\u016bs sniedzat AI r\u012bkam. T\u0101 var b\u016bt tik \u012bsa k\u0101 viens teikums vai tik detaliz\u0113ta k\u0101 pilns apraksts par to, ko J\u016bs v\u0113laties ieg\u016bt. <\/p>\n Uzvednes kvalit\u0101te un precizit\u0101te bie\u017ei nosaka, cik labi AI sp\u0113j veikt uzdevumu. Piem\u0113ram, at\u0161\u0137ir\u012bba starp \u201cIzveidot formu\u201d<\/em> un \u201cIzveidot respons\u012bvu pieteik\u0161an\u0101s formu ar e-pasta un paroles laukiem, \u201cAtcer\u0113ties mani\u201d izv\u0113les r\u016bti\u0146u un iesnieg\u0161anas pogu ar ievades valid\u0101ciju\u201d<\/em> var b\u016bt \u013coti liela. AI izmanto uzvedni, lai saprastu gan to, ko J\u016bs v\u0113laties, gan to, k\u0101 tas j\u0101struktur\u0113. <\/p>\n Lai gan uzvedne ir vienk\u0101r\u0161i tas, ko J\u016bs l\u016bdzat AI, uzved\u0146u veido\u0161ana (prompt engineering<\/strong>) ir veids, k\u0101 \u0161o piepras\u012bjumu padar\u012bt efekt\u012bv\u0101ku un prec\u012bz\u0101ku.<\/p>\n S\u0101kum\u0101 var \u0161\u0137ist, ka AI vai nu \u201cstr\u0101d\u0101\u201d, vai “nestr\u0101d\u0101”, ta\u010du paties\u012bb\u0101 nelielas formul\u0113juma izmai\u0146as var b\u016btiski main\u012bt rezult\u0101tu. Jo vair\u0101k deta\u013cu, strukt\u016bras vai ierobe\u017eojumu J\u016bs pievienojat, jo prec\u012bz\u0101kus rezult\u0101tus J\u016bs ieg\u016bstat. Piem\u0113ram, t\u0101 viet\u0101, lai pras\u012btu \u201cgalveno lapu\u201d<\/em>, j\u016bs var\u0113tu nor\u0101d\u012bt izk\u0101rtojuma sada\u013cas, toni vai pat izmantojam\u0101s tehnolo\u0123ijas. <\/p>\n Ar laiku J\u016bs iem\u0101c\u0101ties efekt\u012bv\u0101k vad\u012bt AI \u2014 sadal\u012bt uzdevumus, sniegt skaidr\u0101kas instrukcijas vai pak\u0101peniski uzlabot rezult\u0101tus. Tas padara darbu ar AI par atsevi\u0161\u0137u prasmi, kur rezult\u0101ta kvalit\u0101te ir atkar\u012bga ne tikai no r\u012bka, bet ar\u012b no t\u0101, k\u0101 J\u016bs ar to komunic\u0113jat. <\/p>\n Generat\u012bvais m\u0101ksl\u012bgais intelekts<\/strong> ir sist\u0113mas, kas sp\u0113j rad\u012bt jaunu saturu, nevis tikai analiz\u0113t vai apkopot jau eso\u0161u inform\u0101ciju. Tas ietver teksta, koda, att\u0113lu un pat m\u016bzikas \u0123ener\u0113\u0161anu. <\/p>\n T\u012bmek\u013ca izstr\u0101d\u0113 \u0161\u0101ds AI tiek izmantots r\u012bkos, kas var rakst\u012bt rakstus, veidot piel\u0101gotus vizu\u0101los materi\u0101lus vai izveidot projekta s\u0101kotn\u0113jo strukt\u016bru. At\u0161\u0137ir\u012bb\u0101 no tradicion\u0101l\u0101m programm\u0101m, kas seko iepriek\u0161 defin\u0113tiem noteikumiem, generat\u012bvais AI veido rezult\u0101tus, balstoties uz apg\u016btiem mode\u013ciem un piem\u0113rojot tos jaun\u0101m situ\u0101cij\u0101m. Tas \u013cauj sist\u0113mai elast\u012bgi rea\u0123\u0113t uz J\u016bsu nor\u0101d\u012bjumiem un piel\u0101goties da\u017e\u0101diem uzdevumiem \u2014 s\u0101kot no satura veido\u0161anas l\u012bdz dizaina un koda \u0123ener\u0113\u0161anai. <\/p>\n AI vairs neaprobe\u017eojas tikai ar tekstu un kodu \u2014 att\u0113lu \u0123ener\u0113\u0161ana<\/strong> b\u016btiski maina ar\u012b vizu\u0101l\u0101 satura veido\u0161anu. Ievadot vienk\u0101r\u0161u aprakstu, J\u016bs varat ieg\u016bt ilustr\u0101cijas, ikonas, diagrammas vai pat UI maketus. <\/p>\n \u0160\u012b iesp\u0113ja \u013cauj \u0101tri rad\u012bt vizu\u0101los materi\u0101lus, kas atbilst vietnes stilam un noska\u0146ai, saglab\u0101jot vienotu dizainu bez nepiecie\u0161am\u012bbas katru elementu veidot manu\u0101li. T\u0101 ir dabiska satura \u0123ener\u0113\u0161anas turpin\u0101jums, kur teksts un kods tiek papildin\u0101ts ar vizu\u0101liem elementiem, kas tiek rad\u012bti p\u0113c piepras\u012bjuma. <\/p>\n Multimod\u0101lais m\u0101ksl\u012bgais intelekts<\/strong> ir sist\u0113mas, kas sp\u0113j str\u0101d\u0101t ar da\u017e\u0101diem datu veidiem \u2014 tekstu, att\u0113liem, kodu, audio un pat video.<\/p>\n T\u012bmek\u013ca izstr\u0101d\u0113 tas noz\u012bm\u0113, ka J\u016bs varat br\u012bvi p\u0101riet starp da\u017e\u0101diem form\u0101tiem. J\u016bs varat aprakst\u012bt dizainu tekst\u0101, \u0123ener\u0113t vizu\u0101lu maketu un p\u0113c tam to p\u0101rv\u0113rst darb\u012bg\u0101 kod\u0101 \u2014 viss vien\u0101 sist\u0113m\u0101. <\/p>\n \u0160\u0101da form\u0101tu apvieno\u0161ana padara AI r\u012bkus daudz elast\u012bg\u0101kus. Vairs nav nepiecie\u0161ams str\u0101d\u0101t ar atsevi\u0161\u0137iem r\u012bkiem rakst\u012b\u0161anai, dizainam un programm\u0113\u0161anai \u2014 visu var paveikt vien\u0101 proces\u0101. <\/p>\n M\u016bsdienu m\u0101ksl\u012bg\u0101 intelekta pamat\u0101 ir lieli mode\u013ci<\/strong>, kas tiek apm\u0101c\u012bti uz milz\u012bgiem datu apjomiem \u2014 kodu, tekstu un dizaina piem\u0113riem. \u0160ie mode\u013ci sp\u0113j \u0123ener\u0113t saturu, izskaidrot lo\u0123iku vai pat paredz\u0113t, kas lietot\u0101jam var\u0113tu b\u016bt nepiecie\u0161ams n\u0101kamais. <\/p>\n Piem\u0113ram, modelis var ieteikt n\u0101kamo koda rindi\u0146u projekt\u0101 vai pied\u0101v\u0101t alternat\u012bvu formul\u0113jumu bloga ierakstam. T\u0101 k\u0101 tie ir apguvu\u0161i \u013coti daudz datu, \u0161ie mode\u013ci ne tikai atk\u0101rto iepriek\u0161 redz\u0113tas strukt\u016bras, bet ar\u012b piel\u0101gojas kontekstam un veido jaunus, konkr\u0113tajai situ\u0101cijai atbilsto\u0161us risin\u0101jumus. Tas \u013cauj AI saprast sare\u017e\u0123\u012btus nor\u0101d\u012bjumus un darboties da\u017e\u0101dos t\u012bmek\u013ca izstr\u0101des uzdevumos. <\/p>\n Visi m\u0101ksl\u012bg\u0101 intelekta mode\u013ci balst\u0101s uz treni\u0146datiem<\/strong> \u2014 piem\u0113riem, no kuriem tie m\u0101c\u0101s. Koda orient\u0113tiem AI tie var b\u016bt publiski repozitoriji, apm\u0101c\u012bbu materi\u0101li un dokument\u0101cija. Teksta vai att\u0113lu AI gad\u012bjum\u0101 tie ietver gr\u0101matas, rakstus un vizu\u0101lo saturu. <\/p>\n Modelis apg\u016bst \u0161ajos datos eso\u0161\u0101s likumsakar\u012bbas, stilus un strukt\u016bras. Kad J\u016bs sniedzat uzvedni, tas izmanto \u0161o apg\u016bto pieredzi, lai \u0123ener\u0113tu rezult\u0101tu, kas atbilst l\u012bdz\u012bgiem iepriek\u0161 redz\u0113tiem piem\u0113riem, bet tiek piel\u0101gots J\u016bsu konkr\u0113tajam piepras\u012bjumam. <\/p>\n Ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s<\/strong> ir metode, ar kuru m\u0101ksl\u012bg\u0101 intelekta sist\u0113mas m\u0101c\u0101s no datiem un tajos eso\u0161ajiem mode\u013ciem. Laika gait\u0101 t\u0101s uzlabo savu sniegumu, atpaz\u012bstot likumsakar\u012bbas, k\u013c\u016bdas un lietot\u0101ju izv\u0113les. <\/p>\n Piem\u0113ram, koda asistents var paman\u012bt, ka izstr\u0101d\u0101t\u0101ji bie\u017ei kori\u0123\u0113 noteikta veida ieteikumus, un n\u0101kotn\u0113 pied\u0101v\u0101t prec\u012bz\u0101kus risin\u0101jumus. T\u0101pat ar\u012b att\u0113lu vai saskarnes \u0123ener\u0113\u0161anas r\u012bki var piel\u0101got savus rezult\u0101tus, balstoties uz iepriek\u0161\u0113jo mijiedarb\u012bbu, lai tie lab\u0101k atbilstu lietot\u0101ja stilam un vajadz\u012bb\u0101m. Ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s ir tas, kas \u013cauj AI k\u013c\u016bt gudr\u0101kam un lab\u0101k izprast kontekstu, to lietojot. <\/p>\n Da\u017eu piem\u0113ru m\u0101c\u012b\u0161an\u0101s (few-shot learning)<\/strong> ir AI sp\u0113ja saprast, k\u0101 veikt uzdevumu, izmantojot tikai da\u017eus uzvedn\u0113 sniegtus piem\u0113rus.<\/p>\n Jums nav j\u0101apm\u0101ca modelis no jauna. Pietiek par\u0101d\u012bt da\u017eus piem\u0113rus, k\u0101 tam j\u0101darbojas, un tas turpina l\u012bdz\u012bg\u0101 veid\u0101. Piem\u0113ram, J\u016bs varat sniegt divus vai tr\u012bs piem\u0113rus, k\u0101 j\u0101format\u0113 saturs vai j\u0101struktur\u0113 kods, un AI turpin\u0101s \u0161o pa\u0161u pieeju. <\/p>\n Tas padara m\u0101ksl\u012bgo intelektu daudz piel\u0101gojam\u0101ku, \u012bpa\u0161i uzdevumos, kur nepiecie\u0161ams noteikts form\u0101ts vai specifisks stils.<\/p>\n Fine-tuning<\/strong> ir process, kur\u0101 visp\u0101r\u0113jas noz\u012bmes AI modelis tiek piel\u0101gots konkr\u0113tam uzdevumam vai nozarei.<\/p>\n Piem\u0113ram, uz\u0146\u0113mums var piel\u0101got modeli, izmantojot savu dokument\u0101ciju, dizaina vadl\u012bnijas vai kodu b\u0101zi. Tas pal\u012bdz AI \u0123ener\u0113t rezult\u0101tus, kas lab\u0101k atbilst konkr\u0113tajam projektam vai organiz\u0101cijai. <\/p>\n T\u0101 viet\u0101, lai izmantotu vienu univers\u0101lu risin\u0101jumu, fine-tuning \u013cauj padar\u012bt modeli specializ\u0113t\u0101ku \u2014 lai tas prec\u012bz\u0101k atbilstu noteiktam stilam, tonim vai tehniskaj\u0101m pras\u012bb\u0101m.<\/p>\n Embeddings<\/strong> ir veids, k\u0101 AI iek\u0161\u0113ji p\u0101rv\u0113r\u0161 inform\u0101ciju skaitlisk\u0101s v\u0113rt\u012bb\u0101s, lai tas var\u0113tu saprast noz\u012bmi un savstarp\u0113j\u0101s attiec\u012bbas starp v\u0101rdiem, teikumiem vai koda fragmentiem.<\/p>\n Lai gan tas notiek \u201caizkulis\u0113s\u201d, embeddings ir viens no galvenajiem veidiem, k\u0101 AI saprot kontekstu. Tie \u013cauj sist\u0113mai atpaz\u012bt, ka \u201cpieteik\u0161an\u0101s forma\u201d<\/em> un \u201clogin lapa\u201d<\/em> ir cie\u0161i saist\u012bti j\u0113dzieni, pat ja tie ir formul\u0113ti at\u0161\u0137ir\u012bgi. <\/p>\n Embeddings tiek izmantoti ar\u012b mekl\u0113\u0161an\u0101, rekomend\u0101cij\u0101s un koda navig\u0101cij\u0101, pal\u012bdzot AI \u0101tri atrast saist\u012btu inform\u0101ciju un savienot idejas.<\/p>\n Konteksta izpratne<\/strong> ir AI sp\u0113ja \u0146emt v\u0113r\u0101 apk\u0101rt\u0113jo inform\u0101ciju, \u0123ener\u0113jot atbildes vai rezult\u0101tus. Programm\u0113\u0161an\u0101 tas noz\u012bm\u0113, ka AI var pied\u0101v\u0101t koda ieteikumus, kas atbilst jau eso\u0161ajai projekta strukt\u016brai. Satura \u0123ener\u0113\u0161an\u0101 tas nodro\u0161ina, ka teksts vai vizu\u0101lie elementi saskan ar iepriek\u0161\u0113j\u0101m sada\u013c\u0101m vai komponentiem. <\/p>\n Tas \u013cauj AI rad\u012bt rezult\u0101tus, kas ir lo\u0123iski, konsekventi un labi iek\u013caujas kop\u0113j\u0101 sist\u0113m\u0101, nevis izskat\u0101s atsevi\u0161\u0137i vai nejau\u0161i.<\/p>\n IDE<\/strong> jeb integr\u0113t\u0101 izstr\u0101des vide ir darba vide, kur\u0101 izstr\u0101d\u0101t\u0101ji raksta, test\u0113 un atk\u013c\u016bdo kodu. T\u0101 apvieno visus galvenos izstr\u0101des r\u012bkus vienuviet, padarot darbu ar kodu \u0113rt\u0101ku un efekt\u012bv\u0101ku. Parasti IDE ietver koda redaktoru, sintakses izcel\u0161anu, k\u013c\u016bdu noteik\u0161anu un da\u017e\u0101dus citus pal\u012bgr\u012bkus, kas atvieglo izstr\u0101des procesu. <\/p>\n M\u016bsdien\u0101s IDE arvien bie\u017e\u0101k tiek papildin\u0101ts ar AI funkcij\u0101m, kas darbojas tie\u0161i izstr\u0101des vid\u0113 un pal\u012bdz rakst\u012bt kodu re\u0101llaik\u0101. Rakstot kodu, J\u016bs varat sa\u0146emt konteksta balst\u012btus ieteikumus, k\u013c\u016bdu labojumus vai pat autom\u0101tiski \u0123ener\u0113tas koda da\u013cas, balstoties uz J\u016bsu aprakstu un eso\u0161o projektu. <\/p>\n Tas p\u0101rv\u0113r\u0161 IDE no vienk\u0101r\u0161a koda rakst\u012b\u0161anas r\u012bka par sadarb\u012bbas vidi, kur J\u016bs un AI str\u0101d\u0101jat kop\u0101 vien\u0101 proces\u0101, nevis atsevi\u0161\u0137i. <\/p>\n API<\/strong> jeb lietojumprogrammu programm\u0113\u0161anas saskarne ir veids, k\u0101 da\u017e\u0101das programmat\u016bras sist\u0113mas sav\u0101 starp\u0101 sazin\u0101s. AI kontekst\u0101 API \u013cauj izstr\u0101d\u0101t\u0101jiem integr\u0113t m\u0101ksl\u012bg\u0101 intelekta funkcijas tie\u0161i sav\u0101s vietn\u0113s vai lietotn\u0113s. <\/p>\n T\u0101 viet\u0101, lai AI izmantotu k\u0101 atsevi\u0161\u0137u r\u012bku, izstr\u0101d\u0101t\u0101ji var piesl\u0113gt savu sist\u0113mu AI pakalpojumam caur API. Tas \u013cauj t\u0101das funkcijas k\u0101 teksta \u0123ener\u0113\u0161ana, \u010data saskarnes vai att\u0113lu veido\u0161ana iek\u013caut tie\u0161i produkt\u0101. <\/p>\n API padara AI m\u0113rogojamu, jo tas \u013cauj to integr\u0113t liel\u0101k\u0101s sist\u0113m\u0101s un darba pl\u016bsm\u0101s, nevis izmantot k\u0101 atsevi\u0161\u0137u r\u012bku.<\/p>\n Autonomi a\u0123enti<\/strong> ir m\u0101ksl\u012bg\u0101 intelekta sist\u0113mas, kas sp\u0113j veikt vair\u0101ku so\u013cu uzdevumus un pie\u0146emt l\u0113mumus ar minim\u0101lu cilv\u0113ka iesaisti. Piem\u0113ram, a\u0123ents var \u0123ener\u0113t kodu, to test\u0113t un dokument\u0113t rezult\u0101tus bez nep\u0101rtrauktas vad\u012bbas katr\u0101 sol\u012b. <\/p>\n \u0160\u0101di a\u0123enti var izmantot vair\u0101kus r\u012bkus un procesus vienlaikus, automatiz\u0113jot atk\u0101rtotus vai struktur\u0113tus uzdevumus. T\u012bmek\u013ca izstr\u0101d\u0113 tie arvien bie\u017e\u0101k tiek izmantoti, lai pa\u0101trin\u0101tu procesus, kas iepriek\u0161 pras\u012bja manu\u0101lu iesaisti katr\u0101 posm\u0101. <\/p>\n Preciz\u0113\u0161ana jeb iterat\u012bv\u0101 atgriezenisk\u0101 saite <\/strong>ir process, kur\u0101 J\u016bs pak\u0101peniski uzlabojat AI \u0123ener\u0113to saturu, sniedzot papildus nor\u0101d\u012bjumus p\u0113c s\u0101kotn\u0113j\u0101 rezult\u0101ta. J\u016bs ievad\u0101t uzvedni, p\u0101rskat\u0101t rezult\u0101tu un p\u0113c tam piel\u0101gojat savas instrukcijas, lai to uzlabotu. <\/p>\n \u0160\u0101da pieeja \u013cauj pak\u0101peniski tuvin\u0101t AI \u0123ener\u0113to rezult\u0101tu J\u016bsu iecer\u0113tajam risin\u0101jumam, nevis m\u0113\u0123in\u0101t to ieg\u016bt perfektu ar pirmo pieg\u0101jienu. Tas ir \u012bpa\u0161i noder\u012bgi t\u012bmek\u013ca izstr\u0101d\u0113, kur pras\u012bbas bie\u017ei main\u0101s un dizains vai funkcionalit\u0101te tiek pilnveidota soli pa solim. <\/p>\n Latentums<\/strong> ir laiks, kas paiet no br\u012b\u017ea, kad J\u016bs nos\u016bt\u0101t piepras\u012bjumu, l\u012bdz br\u012bdim, kad AI sist\u0113ma sniedz atbildi.<\/p>\n Tas b\u016btiski ietekm\u0113 lietot\u0101ja pieredzi, \u012bpa\u0161i re\u0101llaika lietotn\u0113s. Piem\u0113ram, ja AI \u010datbots vai satura \u0123ener\u0113\u0161anas r\u012bks rea\u0123\u0113 l\u0113ni, tas var rad\u012bt saj\u016btu, ka sist\u0113ma ir gausa vai nerea\u0123\u0113 pietiekami \u0101tri. <\/p>\n T\u0101p\u0113c latentuma optimiz\u0113\u0161ana ir svar\u012bga, integr\u0113jot AI tie\u0161saistes produktos, kur nepiecie\u0161ama \u0101tra un pl\u016bsto\u0161a mijiedarb\u012bba.<\/p>\n Kad \u0161ie j\u0113dzieni k\u013c\u016bst saprotami, m\u016bsdienu m\u0101ksl\u012bg\u0101 intelekta r\u012bku darb\u012bba vairs ne\u0161\u0137iet tik abstrakta. Tas, kas s\u0101kotn\u0113ji var \u0161\u0137ist k\u0101 \u201cma\u0123ija\u201d, paties\u012bb\u0101 ir da\u017e\u0101du principu kombin\u0101cija \u2014 valodas izpratne, m\u0101c\u012b\u0161an\u0101s no datiem un konteksta izmanto\u0161ana. <\/p>\n Ar \u0161o pamatu ir daudz viegl\u0101k saprast, k\u0101 AI tiek izmantots t\u012bmek\u013ca izstr\u0101d\u0113 \u2014 no koda rakst\u012b\u0161anas l\u012bdz satura \u0123ener\u0113\u0161anai un lietot\u0101ju pieredzes veido\u0161anai. M\u016bsu specializ\u0101cija \u2014 WordPress viet\u0146u izstr\u0101de un uztur\u0113\u0161ana. Kontakti bezmaksas konsult\u0101cijai \u2014 vadim@coma.lv<\/a>, +371 29394520<\/a> <\/em><\/p>\n M\u0101ksl\u012bgais intelekts m\u016bsdien\u0101s ir visur t\u012bmek\u013ca izstr\u0101d\u0113 \u2014 no koda \u0123ener\u0113\u0161anas l\u012bdz satura un vizu\u0101lo materi\u0101lu veido\u0161anai. Aiz \u0161\u012bm iesp\u0113j\u0101m sl\u0113pjas pamatideju kopums, kas nosaka to, k\u0101 AI r\u012bki darbojas un rea\u0123\u0113. \u0160aj\u0101 ce\u013cved\u012b m\u0113s izskaidrosim svar\u012bg\u0101kos j\u0113dzienus un terminolo\u0123iju. Natural Language Processing (NLP) Viena no svar\u012bg\u0101kaj\u0101m koncepcij\u0101m ir dabisk\u0101s valodas apstr\u0101de jeb NLP (Natural […]<\/p>\n","protected":false},"author":25,"featured_media":39329,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1340],"tags":[],"class_list":["post-39330","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/posts\/39330","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/comments?post=39330"}],"version-history":[{"count":5,"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/posts\/39330\/revisions"}],"predecessor-version":[{"id":39335,"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/posts\/39330\/revisions\/39335"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/media\/39329"}],"wp:attachment":[{"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/media?parent=39330"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/categories?post=39330"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/coma.lv\/lv\/wp-json\/wp\/v2\/tags?post=39330"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Prompt<\/h3>\n
Prompt Engineering<\/strong><\/span><\/h3>\n
Generat\u012bvais m\u0101ksl\u012bgais intelekts (Generative AI)<\/strong><\/span><\/h3>\n
AI att\u0113lu \u0123ener\u0113\u0161ana<\/strong><\/span><\/h3>\n
Multimod\u0101lais m\u0101ksl\u012bgais intelekts<\/strong><\/span><\/h3>\n
Lieli m\u0101ksl\u012bg\u0101 intelekta mode\u013ci<\/strong><\/span><\/h3>\n
Treni\u0146dati<\/strong><\/span><\/h3>\n
Ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s<\/strong><\/span><\/h3>\n
Da\u017eu piem\u0113ru m\u0101c\u012b\u0161an\u0101s (Few-Shot Learning)<\/strong><\/span><\/h3>\n
Fine-Tuning<\/strong><\/span><\/h3>\n
Embeddings<\/strong><\/span><\/h3>\n
Konteksta izpratne<\/strong><\/span><\/h3>\n
IDE (Integr\u0113t\u0101 izstr\u0101des vide)<\/strong><\/span><\/h3>\n
API (Lietojumprogrammu programm\u0113\u0161anas saskarne)<\/strong><\/span><\/h3>\n
Autonomi a\u0123enti<\/strong><\/span><\/h3>\n
Preciz\u0113\u0161ana \/ iterat\u012bv\u0101 atgriezenisk\u0101 saite<\/strong><\/span><\/h3>\n
Latentums<\/strong><\/span><\/h3>\n
Coma m\u0113s izmantojam \u0161os r\u012bkus savos t\u012bmek\u013ca izstr\u0101des pakalpojumos<\/a>, lai nodro\u0161in\u0101tu \u0101tr\u0101kus, efekt\u012bv\u0101kus un kvalitat\u012bv\u0101kus risin\u0101jumus m\u016bsu klientiem. <\/p>\n
\n
\n","protected":false},"excerpt":{"rendered":"