Kodi kukonza bwino ndi chiyani ndipo chifukwa chiyani malingaliro anu amagwira ntchito bwino nawo?

Malire pakati Zomwe mumapeza ndi zolimbikitsa zabwino komanso zomwe mumapeza pokonza bwino chitsanzo Ndizowoneka bwino kuposa momwe zimawonekera, koma kumvetsetsa kumapangitsa kusiyana pakati pa mayankho apakati ndi machitidwe othandizadi. Mu bukhu ili, ndikuwonetsani, ndi zitsanzo ndi mafananidwe, momwe mungasankhire ndi kuphatikiza njira iliyonse kuti mukwaniritse zotsatira zolimba mu ntchito zenizeni.

Cholinga sikukhala m'malingaliro, koma kuzichita tsiku ndi tsiku: pamene uinjiniya kapena kukonza mwachangu kukukwanirani, Ndi liti pamene kuli koyenera kuyikapo ndalama pakukonza bwino?, momwe zonsezi zimayendera mumayendedwe a RAG, ndi njira zabwino zotani zochepetsera ndalama, kufulumizitsa kubwerezabwereza, ndikupewa kulowa m'malo opanda pake.

Kodi uinjiniya wachangu, kukonza mwachangu, ndi kukonza bwino ndi chiyani?

Tisanapitilize, tiyeni tifotokoze mfundo zina:

• Uinjiniya wachangu ndi luso lopanga malangizo omveka bwino okhala ndi nkhani zomveka bwino komanso zoyembekeza. kutsogolera chitsanzo chophunzitsidwa kale. Mu a kulumikiza, mwachitsanzo, amatanthauzira udindo, kamvekedwe, mawonekedwe otulutsa, ndi zitsanzo kuti achepetse kumveka bwino ndikuwongolera kulondola popanda kukhudza zolemera zachitsanzo.
• Kukonza bwino kumasintha magawo amkati mwachitsanzo chophunzitsidwa kale ndi zina zowonjezera kuchokera ku domain. kuwongolera magwiridwe antchito anu pazantchito zinazake. Ndibwino mukafuna mawu apadera, zisankho zovuta, kapena kulondola kwambiri m'malo ovuta (zaumoyo, zamalamulo, zachuma).
• Kukonza mwachangu kumawonjezera ma vector ophunzitsidwa (zolimbikitsa zofewa) zomwe mtunduwo umatanthauzira limodzi ndi mawu olowera.Sichikonzanso mtundu wonsewo: imaundana zolemera zake ndikukulitsa "mayendedwe" okhawo ophatikizidwa. Ndi njira yabwino yapakati pamene mukufuna kusintha khalidwe popanda mtengo wokonza bwino.

Mu kapangidwe ka UX/UI, uinjiniya wachangu umathandizira kumveketsa bwino kwa kulumikizana kwa makompyuta a anthu (zomwe ndikuyembekezera ndi momwe ndikufunsira), pomwe kukonza bwino kumawonjezera kufunika kwake komanso kusasinthika kwazomwe zimatuluka. Kuphatikiza, lolani kuti pakhale zolumikizira zothandiza kwambiri, zachangu, komanso zodalirika.

Kupanga mwachangu mwakuya: njira zomwe zimasuntha singano

Uinjiniya wachangu siwongoyesa osawona. Pali njira mwadongosolo zomwe zimasintha bwino popanda kukhudza chitsanzo kapena deta yanu yoyambira:

• Zochepa zowombera vs zero-kuwombera. En pang'ono-kuwombera Mumawonjezera zitsanzo zosankhidwa bwino kuti chitsanzocho chitenge chitsanzo chenichenicho; mu zero-kuwombera Mumadalira malangizo omveka bwino ndi taxonomies popanda zitsanzo.
• Ziwonetsero mu nkhani. Sonyezani mtundu woyembekezeka (zolowetsa → zotuluka) ndi ma mini-awiri. Izi zimachepetsa zolakwika za masanjidwe ndikulinganiza zoyembekeza, makamaka ngati mukufuna magawo, zilembo, kapena masitayilo enieni poyankha.
• Ma templates ndi zosinthaFotokozerani malangizo omwe ali ndi zoyikapo pakusintha deta. Zilankhulo zamphamvu ndizofunika kwambiri pamene zolowetsazo zimasiyanasiyana, mwachitsanzo, kuyeretsa deta kapena kupukuta kumene mbiri iliyonse imabwera mumtundu wina.
• Olankhula mawuNdiwo "omasulira" pakati pa danga la malemba a chitsanzo ndi magulu anu abizinesi (monga kupanga mapu "osangalala" → "zabwino"). Kusankha olankhula mawu abwino kumawongolera kulondola kwa zilembo komanso kusasinthika, makamaka pakusanthula kwamawu komanso kugawa mitu.
• Zingwe zofulumira (kuthamangitsa unyolo). Gwirani ntchito yovuta kukhala masitepe: fotokozani mwachidule → chotsani ma metrics → pendani malingaliro. Kuyang'ana masitepe palimodzi kumapangitsa kuti dongosololi likhale losasinthika komanso lolimba, ndipo nthawi zambiri limakhala labwino poyerekeza ndi "kufunsa chilichonse nthawi imodzi."
• Makhalidwe abwino a masanjidwe: amalemba maudindo ("Ndiwe katswiri ..."), amatanthauzira kalembedwe ("kuyankha m'matebulo / JSON"), amakhazikitsa njira zowunikira ("amalanga ziwonetsero, amatchula magwero pamene alipo") ndikufotokozera zoyenera kuchita ngati pali kusatsimikizika (mwachitsanzo, "ngati deta ikusowa, sonyezani 'zosadziwika'").

Kukonzekera mwachangu zigawo

Kuphatikiza pa kulamula kwachilengedwe, kukonza mwachangu kumaphatikizanso malangizo ofewa (zolowera zophunzitsidwa) zomwe zimatsogolera zolowetsazo. Pa nthawi yophunzitsa, gradient imasintha ma vectors kuti abweretse zotuluka pafupi ndi zomwe mukufuna. popanda kukhudza zolemera zina zachitsanzo. Ndizothandiza mukafuna kunyamula komanso kutsika mtengo.

Mumakweza LLM (mwachitsanzo, GPT-2 kapena zofananira), konzani zitsanzo zanu ndi mumakonzekera zidziwitso zofewa za kulowa kulikonseMumangophunzitsa zoyikazo, kotero kuti choyimiracho "chimawona" mawu oyamba otsogola omwe amawongolera machitidwe ake pantchito yanu.

Kugwiritsa ntchito bwino: Mu chatbot yamakasitomala, mutha kuphatikiza njira zamafunso ndi kamvekedwe koyenera pamawu osavuta. Izi zimafulumizitsa kusintha popanda kusunga nthambi zosiyanasiyana zamitundu. kapena kugwiritsa ntchito GPU yambiri.

Kukonza mozama: liti, motani, komanso mosamala bwanji

Kukonza bwino kumabwereza (mwapang'ono kapena kwathunthu) zolemera za LLM yokhala ndi dataset yomwe mukufuna. kuzipanga mwapadera izo. Iyi ndi njira yabwino kwambiri pamene ntchitoyo ikuchoka pa zomwe chitsanzocho chinawona panthawi yophunzitsidwa chisanadze kapena imafuna mawu omveka bwino ndi zisankho.

Simumayamba ndi slate yopanda kanthu: zitsanzo zosinthidwa ngati gpt-3.5-turbo Akonzedwa kale kuti atsatire malangizo. Kukonzekera kwanu bwino "kumayankha" ku khalidwe limenelo, zomwe zingakhale zobisika komanso zosatsimikizika, choncho ndi bwino kuyesa kamangidwe ka machitidwe ndi zolowetsa.

Mapulatifomu ena amakulolani kuti muyimbe nyimbo yabwino pa yomwe ilipo kale. Izi zimalimbitsa zizindikiro zothandiza pamtengo wotsika. kuyambiranso kuyambira pachiyambi, ndikuthandizira kubwereza kovomerezeka.

Njira zogwira mtima monga LoRA imayika matrices otsika kuti asinthe mawonekedwe ndi magawo atsopano ochepa. Ubwino: kugwiritsa ntchito pang'ono, kutumizidwa kwachangu komanso kusinthika (mutha "kuchotsa" kusintha popanda kukhudza maziko).

Kufananiza: kukonza mwachangu vs kukonza bwino

• ProcesoKukonza bwino kumasinthitsa kulemera kwachitsanzo chokhala ndi dataset yolembedwa; kukonza mwachangu kumayimitsa choyimira ndikusintha zoyikapo zophunzitsidwa bwino zomwe zimalumikizidwa ndi zomwe zalowetsedwa; uinjiniya wachangu amawongolera zolemba zamalangizo ndi zitsanzo zosaphunzitsidwa.
• Kukonzekera kwa parámetrosMukakonza bwino, mumasintha maukonde; mukukonzekera mwachangu, mumangogwira "zolimbikitsa zofewa." Mu uinjiniya wachangu, palibe kusintha kwa parametric, kungopanga.
• Mtundu wolowetseraKukonza bwino kumalemekeza mtundu woyambirira; kukonza mwachangu kumapangitsanso zolowetsa ndi zoyikapo ndi ma templates; ukadaulo wachangu umathandizira chilankhulo chachilengedwe (maudindo, zopinga, zitsanzo).
• ZidaKukonzekera bwino ndikokwera mtengo kwambiri (kuwerengera, deta, ndi nthawi); kukonza mwachangu kumakhala kothandiza kwambiri; uinjiniya wachangu ndiye wotchipa kwambiri komanso wofulumira kubwereza ngati mlandu ulola.
• Zolinga ndi zoopsaKukonzekera bwino kumakwaniritsa ntchitoyo, ndikuchotsa chiwopsezo chakuchulukirachulukira; kukonza mwachangu kumagwirizana ndi zomwe zaphunziridwa kale mu LLM; uinjiniya wachangu umachepetsa zowona ndi zolakwika zamapangidwe ndi machitidwe abwino osakhudza mtunduwo.

Deta ndi zida: mafuta ogwirira ntchito

• Ubwino wa data poyamba: machiritso, kuchotsera, kusanja, kuphimba milandu yam'mphepete ndi wolemera metadata Ndi 80% ya zotsatira zake, kaya mukukonza bwino kapena kukonza mwachangu.
• Mapaipi odzichitira okha: nsanja zopanga data za AI yopangira (monga mayankho omwe amapanga zinthu zomwe zingagwiritsidwenso ntchito) kuthandizira kuphatikiza, kusintha, kutumiza ndi kuyang'anira ma dataset za maphunziro ndi kuunika. Malingaliro ngati "Nexsets" akuwonetsa momwe mungasungire deta yokonzeka kugwiritsidwa ntchito.
• Feedback loop: Sonkhanitsani zidziwitso zogwiritsa ntchito zenizeni padziko lapansi (zopambana, zolakwika, mafunso omwe amafunsidwa pafupipafupi) ndikuwabwezera m'zidziwitso zanu, malangizo osavuta, kapena ma dataset. Ndi njira yachangu kwambiri yopezera kulondola.
• kuberekana: Matembenuzidwe amawu, malangizo ofewa, deta, ndi zolemera zogwirizana. Popanda kutsatiridwa, ndizosatheka kudziwa chomwe chinasintha magwiridwe antchito kapena kubwereranso pamalo abwino ngati kubwereza kulephera.
• KuphatikizaMukakulitsa ntchito kapena zilankhulo, onetsetsani kuti mawu anu, zitsanzo, ndi zilembo sizinapangidwe monyanyira kudera linalake. Ngati mukusintha ofukula, mungafunike kukonza pang'ono kapena kugwiritsa ntchito mfundo zofewa zatsopano.
• Bwanji ngati ndisintha chenjezo nditatha kukonza bwino? Mwambiri, inde: chitsanzocho chiyenera kutengera masitayelo ndi machitidwe kuchokera pazomwe waphunzira, osati kungobwereza zizindikiro. Ndiye ndendende mfundo ya injini yachidziwitso.
• Tsekani kuzungulira ndi ma metricsKupitilira kulondola, imayesa masanjidwe olondola, kuphimba, mawu oyambira mu RAG, komanso kukhutira kwa ogwiritsa ntchito. Zomwe sizinayesedwe sizikuyenda bwino.

Kusankha pakati pa zidziwitso, kukonza mwachangu ndi kukonza bwino si nkhani yachikhulupiriro koma ndi nkhani.: mtengo, nthawi, chiwopsezo cha zolakwika, kupezeka kwa data, ndi kufunikira kwa ukatswiri. Mukakhometsa zinthu izi, ukadaulo udzakuthandizani, osati mwanjira ina.

Daniel Terrasa

Mkonzi wokhazikika pazaukadaulo komanso nkhani zapaintaneti yemwe ali ndi zaka zopitilira khumi pazama media osiyanasiyana. Ndagwira ntchito ngati mkonzi komanso wopanga zinthu pa e-commerce, kulumikizana, kutsatsa pa intaneti ndi makampani otsatsa. Ndalembanso pamawebusayiti azachuma, azachuma ndi magawo ena. Ntchito yanga ndi chidwi changanso. Tsopano, kudzera mu zolemba zanga mu Tecnobits, Ndimayesetsa kufufuza nkhani zonse ndi mwayi watsopano umene dziko laukadaulo limatipatsa tsiku lililonse kuti tisinthe miyoyo yathu.