Impendulo emfushane: Ukuze uhlole kahle amamodeli e-AI, qala ngokuchaza ukuthi "okuhle" kubukeka kanjani kumsebenzisi wangempela kanye nesinqumo esikhona. Bese wakha ukuhlolwa okuphindaphindwayo ngedatha emele, izilawuli zokuvuza eziqinile, kanye nezilinganiso eziningi. Engeza ukucindezeleka, ukubandlulula, kanye nokuhlolwa kokuphepha, futhi noma nini lapho noma yini ishintsha (idatha, izixwayiso, inqubomgomo), phinda usebenzise i-harness bese uqhubeka nokuqapha ngemva kokwethulwa.
Izinto ezibalulekile okufanele uzicabangele:
Izindlela zokuphumelela : Chaza abasebenzisi, izinqumo, imikhawulo, kanye nokwehluleka okubi kakhulu ngaphambi kokukhetha izindlela zokulinganisa.
Ukuphindaphinda : Yakha i-eval harness ephinda isebenzise izivivinyo ezifanayo ngoshintsho ngalunye.
Ukuhlanzeka kwedatha : Gcina ukuhlukana okuzinzile, vimbela ukufana, futhi uvimbele ukuvuza kwesici kusenesikhathi.
Ukuhlolwa kokwethembana : Ukuqina kokuhlolwa kokucindezeleka, izingcezu zokulunga, kanye nokuziphatha kokuphepha kwe-LLM ngamarubriki acacile.
Ukuqeqeshwa komjikelezo wokuphila : Qalisa ngezigaba, qapha ukukhukhuleka kanye nezigameko, bese ubhala phansi izikhala ezaziwayo.
Izihloko ongase uthande ukuzifunda ngemva kwalesi:
🔗 Iyini i-AI ethics
Hlola izimiso eziqondisa ukwakheka, ukusetshenziswa, kanye nokuphathwa kwe-AI okunesibopho.
🔗 Kuyini ukubandlulula kwe-AI
Funda ukuthi idatha enobandlululo ishintsha kanjani izinqumo nemiphumela ye-AI.
🔗 Iyini i-AI scalability
Qonda ukukhuliswa kwezinhlelo ze-AI ukuze kutholakale ukusebenza, izindleko, kanye nokuthembeka.
🔗 Yini i-AI
Ukubuka konke okucacile kobuhlakani bokwenziwa, izinhlobo, kanye nokusetshenziswa komhlaba wangempela.
1) Qala ngencazelo engathandeki yegama elithi “okuhle”
Ngaphambi kwezilinganiso, ngaphambi kwamadeshibhodi, ngaphambi kwanoma yikuphi ukushintshashintsha kwesilinganiso - nquma ukuthi impumelelo ibukeka kanjani.
Cacisa:
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Umsebenzisi: umhlaziyi wangaphakathi, ikhasimende, udokotela, umshayeli, i-ejenti yokusekela ekhathele ngo-4 ntambama…
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Isinqumo: vumela imali mboleko, phawula ukukhwabanisa, phakamisa okuqukethwe, fingqa amanothi
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Ukwehluleka okubaluleke kakhulu:
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Izinto ezinhle ezingamanga (ezicasulayo) vs izinto ezimbi ezingamanga (eziyingozi)
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Imingcele: ukubambezeleka, izindleko ngesicelo ngasinye, imithetho yobumfihlo, izidingo zokuchaza, ukufinyeleleka
Lena yingxenye lapho amaqembu eqala khona ukwenza ngcono "isilinganiso esihle" esikhundleni "somphumela onenjongo." Kwenzeka kakhulu. Njengo... kakhulu.
Indlela eqinile yokugcina lokhu kuqaphela ingozi (hhayi ngokusekelwe kuma-vibes) ukuhlela ukuhlolwa okuzungeze ukwethembeka kanye nokuphathwa kwengozi yomjikelezo wokuphila, ngendlela i-NIST eyenza ngayo ku- AI Risk Management Framework (AI RMF 1.0) [1].
2) Yini eyenza inguqulo "yendlela yokuhlola amamodeli e-AI" ibe yinhle ✅
Indlela yokuhlola eqinile inezimbalwa ezingaxoxiswana ngazo:
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Idatha emele (hhayi nje idatha yelabhorethri ehlanzekile)
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Sula ukuhlukana ngokuvimbela ukuvuza (okunye okwengeziwe ngalokho ngomzuzwana)
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Izisekelo (amamodeli alula okufanele uwanqobe - izibalo zobuqili zikhona ngesizathu [4])
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Izilinganiso eziningi (ngoba inombolo eyodwa ilele kuwe, ngenhlonipho, ebusweni bakho)
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Ukuhlolwa kokucindezeleka (amacala angaphandle, okufakwayo okungajwayelekile, izimo eziphikisanayo)
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Izingidi zokubuyekezwa kwabantu (ikakhulukazi kumamodeli akhiqizayo)
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Ukuqapha ngemva kokuqaliswa (ngoba umhlaba uyashintsha, amapayipi ayaphuka, futhi abasebenzisi... banobuhlakani [1])
Futhi: indlela enhle ihlanganisa ukubhala phansi lokho okuhlolile, lokho ongakuhlolanga, nalokho okhathazekile ngakho. Leso sigaba esithi “lokho engikhathazekile ngakho” sizwakala singakhululekile - futhi yilapho ukwethembana kuqala khona.
Amaphethini amabili okubhala asisiza njalo amaqembu ukuthi ahlale eqotho:
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Amakhadi Emodeli (ukuthi imodeli yenzelwe ini, ukuthi yahlolwa kanjani, lapho yehluleka khona) [2]
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Amashidi edatha wamasethi edatha (ukuthi idatha iyini, ukuthi yaqoqwa kanjani, ukuthi kufanele/akufanele isetshenziselwe ini) [3]
3) Iqiniso lamathuluzi: lokho abantu abakusebenzisayo ngokoqobo 🧰
Amathuluzi ayazikhethela. Imikhuba emihle yokuhlola ayiyona.
Uma ufuna ukusethwa okusebenzayo, amaqembu amaningi agcina enamabhakede amathathu:
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Ukulandelela ukuhlolwa (ukugijima, ukulungiselelwa, izinto zobuciko)
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I-harness yokuhlola (izivivinyo eziphindaphindwayo ezingaxhunyiwe ku-inthanethi + ama-regression suite)
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Ukuqapha (izimpawu zokukhukhuleka, amaphroksi okusebenza, izexwayiso zezehlakalo)
Izibonelo ozozibona kakhulu endle (hhayi ukuvumelana, futhi yebo - izici/ushintsho lwamanani): i-MLflow, Izisindo kanye nokubandlulula, Amathemba Amakhulu, Ngokusobala, ama-Deepchecks, ama-OpenAI Evals, i-TruLens, i-LangSmith.
Uma ukhetha umqondo kulesi sigaba: yakha i-eval harness ephindaphindwayo . Ufuna “cindezela inkinobho → uthole imiphumela efanayo,” hhayi “phinda usebenzise incwadi yamanothi bese uthandaza.”
4) Yakha isethi yokuhlola efanele (futhi uyeke ukuvuza kwedatha) 🚧
Inani elishaqisayo lamamodeli “amangalisayo” likhohlisa ngephutha.
Kwe-ML ejwayelekile
Imithetho embalwa engathandeki esindisa imisebenzi:
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Gcina isitimela/ukuqinisekiswa/ukuhlolwa kokuhlukaniswa kuzinzile (bese ubhala phansi i-logic yokuhlukaniswa)
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Vimbela ukuphindaphindwa kokuhlukaniswa (umsebenzisi ofanayo, idokhumenti efanayo, umkhiqizo ofanayo, okucishe kube okuphindaphindwayo)
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Qaphela ukuvuza kwezici (ulwazi lwesikhathi esizayo olungena ngokunyenya ezicini "zamanje")
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Sebenzisa izisekelo (izilinganiselo zobuqili) ukuze ungagubhi ukushaya… lutho [4]
Incazelo yokuvuza (inguqulo esheshayo): noma yini ekuqeqeshweni/eval enikeza imodeli ukufinyelela kolwazi ebingeke ibe nalo ngesikhathi sesinqumo. Kungaba sobala (“ilebula yesikhathi esizayo”) noma kube okucashile (“ibhakede lesitembu sesikhathi sangemva komcimbi”).
Kwama-LLM namamodeli akhiqizayo
Wakha uhlelo olusheshayo nolunenqubomgomo , hhayi nje “imodeli.”
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Dala isethi yegolide yezeluleko (ezincane, ezisezingeni eliphezulu, ezizinzile)
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Engeza amasampula angempela akamuva (angaziwa + aphephile ubumfihlo)
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Gcina iphakethe elinomkhawulo : ukuthayipha, isitsotsi, ukufometha okungajwayelekile, okokufaka okungenalutho, izimangaliso zezilimi eziningi 🌍
Into ewusizo engiyibonile yenzeka izikhathi ezingaphezu kwesisodwa: iqembu lithumela ngesilinganiso "esiqinile" esingaxhunyiwe ku-inthanethi, bese ukwesekwa kwamakhasimende kuthi, "Kuhle. Kushoda ngokuqiniseka umusho owodwa obalulekile." Ukulungiswa kwakungeyona "imodeli enkulu." Kwakuyiziphakamiso zokuhlola ezingcono , ama-rubriki acacile, kanye ne-regression suite eyajezisa leyo modi yokuhluleka ngqo. Kusobala. Kuyasebenza.
5) Ukuhlolwa okungaxhunyiwe ku-inthanethi: izibalo ezisho okuthile 📏
Izilinganiso zilungile. Izilinganiso zesilinganiso azilungile.
Ukuhlukaniswa (ugaxekile, ukukhwabanisa, inhloso, ukuhlunga)
Sebenzisa okungaphezu kokunemba.
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Ukunemba, ukubuyisa, F1
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Ukulungiswa komkhawulo (umkhawulo wakho ozenzakalelayo awuvamile "ukufaneleka" ngezindleko zakho) [4]
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Ama-matrices okudideka ngesigaba ngasinye (isifunda, uhlobo lwedivayisi, iqembu lomsebenzisi)
Ukuhlehla (ukubikezela, amanani, ukufaka amaphuzu)
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I-MAE / i-RMSE (khetha ngokusekelwe endleleni ofuna ukujezisa ngayo amaphutha)
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Ukuhlola okufana nokulinganisa lapho imiphumela isetshenziswa “njengamaphuzu” (ingabe amaphuzu ayahambisana neqiniso?)
Izinhlelo zokubeka izinga/zokuncoma
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I-NDCG, Imephu, i-MRR
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Sika ngohlobo lombuzo (ikhanda vs umsila)
Umbono wekhompyutha
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i-mAP, i-IoU
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Ukusebenza ngekilasi ngalinye (amakilasi angavamile yilapho amamodeli ekwenza uhlazeke khona)
Amamodeli akhiqizayo (ama-LLM)
Yilapho abantu bethola khona… ifilosofi 😵💫
Izinketho ezisebenzayo ezisebenza emaqenjini angempela:
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Ukuhlolwa komuntu (isignali engcono kakhulu, iluphu ehamba kancane)
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Ukukhetha okubili/izinga lokuwina (u-A vs u-B kulula kunokuthola amaphuzu aphelele)
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Izilinganiso zombhalo ezizenzakalelayo (eziwusizo kweminye imisebenzi, ezidukisayo kweminye)
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Ukuhlola okusekelwe emisebenzini: “Ingabe ikhiphe izinkambu ezifanele?” “Ingabe ilandele inqubomgomo?” “Ingabe ikhulume ngemithombo lapho kudingeka?”
Uma ufuna iphuzu lokubhekisela "elinama-metric amaningi, nezimo eziningi" elihlelekile, i-HELM iyisivikelo esihle: isunduza ngokusobala ukuhlolwa ngale kokunemba ezintweni ezifana nokulinganisa, ukuqina, ukukhetha/ubuthi, kanye nokushintshana kokusebenza kahle [5].
Ukuphambuka okuncane: izibalo ezizenzakalelayo zekhwalithi yokubhala ngezinye izikhathi zizwakala njengokwahlulela isandwich ngokuyilinganisa. Akuyona into, kodwa… woza 🥪
6) Ukuhlolwa kokuqina: kwenze kujuluke kancane 🥵🧪
Uma imodeli yakho isebenza kuphela ezintweni ezihlanzekile, empeleni iyisitsha seglasi. Sihle, siyaphuka, siyabiza.
Ukuhlolwa:
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Umsindo: amaphutha okubhala, amanani angekho, i-unicode engejwayelekile, amaphutha okufometha
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Ushintsho lokusabalalisa: izigaba zemikhiqizo emisha, isitsotsi esisha, izinzwa ezintsha
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Amanani aphakeme kakhulu: izinombolo ezingaphandle kwebanga, imithwalo emikhulu yokukhokha, izintambo ezingenalutho
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Okokufaka "okuphambene" okungabonakali njengesethi yakho yokuqeqesha kodwa okubonakala njengabasebenzisi
Kuma-LLM, faka:
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Imizamo yokufaka ngokushesha (imiyalelo ifihliwe ngaphakathi kokuqukethwe komsebenzisi)
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Amaphethini “ongayinaki imiyalelo yangaphambilini”
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Amacala onqenqema okusetshenziswa kwethuluzi (ama-URL amabi, ukuphelelwa yisikhathi, imiphumela engaphelele)
Ukuqina kungenye yezimpawu zokwethembeka ezizwakala zingaqondakali kuze kube yilapho kwenzeka izehlakalo. Bese kuba... okubonakalayo kakhulu [1].
7) Ukukhetha, ubulungisa, nokuthi kusebenza kubani ⚖️
Imodeli ingaba "enembile" iyonke ngenkathi ihlala imbi kakhulu emaqenjini athile. Lokho akuyona inkinga encane. Leyo inkinga yomkhiqizo kanye nokuthembana.
Izinyathelo ezisebenzayo:
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Hlola ukusebenza ngezigaba ezinengqondo (ezifanele ngokomthetho/ngokokuziphatha ukulinganisa)
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Qhathanisa amazinga amaphutha kanye nokulinganiswa kuwo wonke amaqembu
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Hlola izici ze-proxy (ikhodi ye-zip, uhlobo lwedivayisi, ulimi) ezingabhala izimfanelo ezibucayi
Uma ungakubhali lokhu ndawana thize, empeleni ucela ikusasa ukuthi ulungise inkinga yokuthembana ngaphandle kwemephu. Amakhadi Emodeli ayindawo eqinile yokukubeka [2], futhi uhlaka lokuthembeka lwe-NIST lukunikeza uhlu lokuhlola oluqinile lokuthi yikuphi "okuhle" okufanele kufakwe [1].
8) Ukuhlolwa kokuphepha (ikakhulukazi kuma-LLM) 🛡️
Uma imodeli yakho ingakhiqiza okuqukethwe, uhlola okungaphezu kokunemba. Uhlola ukuziphatha.
Faka izivivinyo ze:
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Ukukhiqizwa kokuqukethwe okungavunyelwe (ukwephulwa kwenqubomgomo)
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Ukuvuza kobumfihlo (ingabe kuvumelana nezimfihlo?)
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Ukungaboni kahle ezindaweni eziyingozi kakhulu
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Ukwenqaba ngokweqile (imodeli yenqaba izicelo ezivamile)
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Imiphumela yobuthi kanye nokuhlukunyezwa
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Imizamo yokuhlunga idatha ngomjovo osheshayo
Indlela eyisisekelo yile: chaza imithetho yenqubomgomo → yakha izixwayiso zokuhlola → thola imiphumela ngokuhlola komuntu + okuzenzakalelayo → kusebenze njalo lapho noma yini ishintsha. Leyo ngxenye "njalo" iyirenti.
Lokhu kuhambisana kahle nomqondo wengozi yomjikelezo wokuphila: lawula, hlela umongo, linganisa, phatha, phinda [1].
9) Ukuhlolwa ku-inthanethi: ukukhishwa kwezinhlelo ngezigaba (lapho iqiniso likhona) 🚀
Ukuhlolwa okungaxhunyiwe ku-inthanethi kuyadingeka. Ukuvezwa ku-inthanethi yilapho kuvela khona iqiniso ugqoke izicathulo ezinodaka.
Akudingeki ube yisicefe. Udinga nje ukuzithiba:
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Sebenzisa kumodi yesithunzi (imodeli isebenza, ayithinti abasebenzisi)
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Ukukhishwa kancane kancane (ithrafikhi encane kuqala, yanda uma iphilile)
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Landelela imiphumela kanye nezigameko (izikhalazo, ukwanda kwezinkinga, ukwehluleka kwenqubomgomo)
Ngisho noma ungakwazi ukuthola amalebula asheshayo, ungaqapha izimpawu ze-proxy kanye nempilo yokusebenza (ukubambezeleka, amazinga okuhluleka, izindleko). Iphuzu eliyinhloko: ufuna indlela elawulwayo yokuthola ukwehluleka ngaphambi kokuba bonke abasebenzisi bakho benze [1].
10) Ukuqapha ngemva kokusetshenziswa: ukukhukhuleka, ukubola, kanye nokwehluleka buthule 📉👀
Imodeli oyivivinye akuyona imodeli ogcina uhlala nayo. Idatha iyashintsha. Abasebenzisi bayashintsha. Umhlaba uyashintsha. Ipayipi liyaphuka ngo-2 ekuseni. Uyazi ukuthi kunjani…
Imonitha:
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Ukuzulazula kwedatha yokufaka (izinguquko ze-schema, ukuntuleka, ukushintsha kokusabalalisa)
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Ukugeleza kokukhipha (ukushintsha kwebhalansi yekilasi, ukushintsha kwamaphuzu)
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Ama-proxies okusebenza (ngoba ukubambezeleka kwelebula kungokoqobo)
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Izimpawu zempendulo (izithupha phansi, ukuhlelwa kabusha, ukukhushulwa)
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Ukuhlehla kwezinga lesigaba (ababulali abathule)
Futhi setha imikhawulo yesaziso engaguquguquki kakhulu. Isikrini esikhala njalo asinakwa - njenge-alamu yemoto edolobheni.
Lo mjikelezo “wokuqapha + ukuthuthuka ngokuhamba kwesikhathi” awuyona into ongayikhetha uma ukhathalela ukwethembeka [1].
11) Uhlelo lokusebenza olusebenzayo ongalukopisha 🧩
Nasi iluphu elula ekala:
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Chaza izindlela zempumelelo + ukwehluleka (faka izindleko/ukubambezeleka/ukuphepha) [1]
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Dala amasethi edatha:
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isethi yegolide
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iphakethe lesikhwama esinqenqemeni
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amasampula angempela akamuva (ukuphepha kobumfihlo)
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Khetha izilinganiso:
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izilinganiso zomsebenzi (F1, MAE, izinga lokuwina) [4][5]
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izilinganiso zokuphepha (izinga lokuphasa kwenqubomgomo) [1][5]
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izilinganiso zokusebenza (ukubambezeleka, izindleko)
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Yakha i-harness yokuhlola (isebenza kuyo yonke imodeli/ushintsho olusheshayo) [4][5]
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Engeza izivivinyo zokucindezeleka + izivivinyo eziphikisanayo [1][5]
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Ukubuyekezwa komuntu kwesampula (ikakhulukazi imiphumela ye-LLM) [5]
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Ukuthunyelwa ngesithunzi + ukukhishwa okuhleliwe [1]
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Ukuqapha + ukuxwayisa + ukuqeqesha kabusha ngokuzithiba [1]
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Idokhumenti iphumela ekubhalweni kwesitayela sekhadi lemodeli [2][3]
Ukuqeqeshwa kuyathandeka. Ukuhlolwa kuyakhokhela irenti.
12) Amanothi okuvala + isifinyezo esisheshayo 🧠✨
Uma ukhumbula izinto ezimbalwa kuphela mayelana nendlela yokuhlola amamodeli e-AI :
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Sebenzisa idatha yokuhlola emele futhi ugweme ukuvuza [4]
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Khetha izindlela zokulinganisa eziningi ezihlobene nemiphumela yangempela [4][5]
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Kuma-LLM, ncika ekubuyekezweni kwabantu + ukuqhathaniswa kwesitayela sezinga lokuwina [5]
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Ukuqina kokuhlola - okokufaka okungajwayelekile kuyizinto ezivamile ezifihliwe [1]
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Phuma ngokuphephile futhi uqaphe, ngoba amamodeli ayakhukhuleka futhi amapayipi ayaphuka [1]
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Bhala phansi lokho okwenzile nalokho ongazange ukuhlole (okungakhululekile kodwa okunamandla) [2][3]
Ukuhlola akukhona nje “ukufakazela ukuthi kuyasebenza.” Kungukuthi “thola ukuthi kwehluleka kanjani ngaphambi kokuba abasebenzisi bakho benze kanjalo.” Futhi yebo, lokho akukuhle kangako - kodwa yingxenye egcina uhlelo lwakho lumi lapho izinto zintengantenga… 🧱🙂
Imibuzo Evame Ukubuzwa
Indlela engcono kakhulu yokuhlola amamodeli e-AI ukuze avumelane nezidingo zangempela zomsebenzisi
Qala ngokuchaza "okuhle" ngokuya ngomsebenzisi wangempela kanye nesinqumo imodeli esisekelayo, hhayi nje i-metric yebhodi yabaphambili. Thola izindlela zokuhluleka ezibiza kakhulu (izinto ezinhle ezingamanga vs izinto ezimbi ezingamanga) bese uchaza imikhawulo eqinile njengokulibaziseka, izindleko, ubumfihlo, kanye nokuchazeka. Bese ukhetha i-metrics kanye namacala okuhlola abonisa leyo miphumela. Lokhu kukuvimbela ekwenzeni ngcono "i-metric enhle" engalokothi iguqule ibe umkhiqizo ongcono.
Ukuchaza izindlela zokuphumelela ngaphambi kokukhetha izindlela zokulinganisa ukuhlolwa
Bhala phansi ukuthi umsebenzisi ungubani, ukuthi imodeli ihloselwe ukusekela siphi isinqumo, nokuthi "ukwehluleka okubi kakhulu" kubukeka kanjani ekukhiqizeni. Engeza imikhawulo yokusebenza njengokulibaziseka okwamukelekayo kanye nezindleko ngesicelo ngasinye, kanye nezidingo zokuphatha njengemithetho yobumfihlo kanye nezinqubomgomo zokuphepha. Uma lokho sekucacile, izilinganiso ziba yindlela yokulinganisa into efanele. Ngaphandle kwalokho kubeka, amaqembu avame ukuthambekela ekwenzeni ngcono noma yini elula ukuyilinganisa.
Ukuvimbela ukuvuza kwedatha kanye nokukopela ngengozi ekuhlolweni kwemodeli
Gcina ukuhlukaniswa kwesitimela/ukuqinisekiswa/ukuhlolwa kuzinzile futhi ubhale phansi i-logic yokuhlukaniswa ukuze imiphumela ihlale iphindaphindeka. Vimba ngenkuthalo okuphindwe kabili kanye nokuphindwe kabili kuzo zonke izihlukanisi (umsebenzisi ofanayo, idokhumenti, umkhiqizo, noma amaphethini aphindaphindwayo). Qaphela ukuvuza kwesici lapho ulwazi "lwesikhathi esizayo" lungena khona kokufakwayo ngezitembu zesikhathi noma izinkambu zangemva komcimbi. Isisekelo esiqinile (ngisho nezilinganiso zobuqili) sikusiza ukuthi uqaphele lapho ugubha umsindo.
Lokho okufanele kufakwe yi-harness yokuhlola ukuze izivivinyo zihlale ziphindaphindwa phakathi nezinguquko
I-harness esebenzayo iphinda isebenzise izivivinyo ezifanayo kuwo wonke amamodeli, i-prompt, noma ushintsho lwenqubomgomo isebenzisa amasethi edatha afanayo kanye nemithetho yokufaka amaphuzu. Ngokuvamile ifaka i-regression suite, amadeshibhodi e-clear metrics, kanye nokulungiselelwa okugciniwe kanye nezinto zobuciko zokulandelela. Kuzinhlelo ze-LLM, idinga futhi "isethi yegolide" eqinile yezikhuthazo kanye nephakethe le-edge-case. Umgomo "ukucindezela inkinobho → imiphumela efanayo," hhayi "ukuphinda usebenzise i-notebook bese uthandaza."
Amamethrikhi okuhlola amamodeli e-AI angaphezu kokunemba
Sebenzisa amamethrikhi amaningi, ngoba inombolo eyodwa ingafihla ukuhwebelana okubalulekile. Ukuze uhlukanise, hlanganisa ukucaca/ukukhumbula/i-F1 ngokulungiswa komkhawulo kanye nama-matrices okudideka ngesigaba. Ukuze uthole i-regression, khetha i-MAE noma i-RMSE ngokusekelwe endleleni ofuna ukujezisa ngayo amaphutha, bese wengeza ukuhlola kwesitayela sokulinganisa lapho okukhiphayo kusebenza njengezikolo. Ukuze uthole izinga, sebenzisa i-NDCG/MAP/MRR bese usika ngekhanda vs imibuzo yomsila ukuze uthole ukusebenza okungalingani.
Ukuhlola imiphumela ye-LLM lapho amamethrikhi ezenzakalelayo ehluleka
Kuphathe njengohlelo olusheshayo kanye nenqubomgomo kanye nokuziphatha kwamaphuzu, hhayi nje ukufana kombhalo. Amaqembu amaningi ahlanganisa ukuhlolwa kwabantu nokukhetha okubili (isilinganiso sokuwina se-A/B), kanye nokuhlolwa okusekelwe emisebenzini njengokuthi “ingabe ikhiphe izinkambu ezifanele” noma “ingabe ilandele inqubomgomo.” Izilinganiso zombhalo ezenzakalelayo zingasiza ezimweni ezincane, kodwa zivame ukuphuthelwa yilokho abasebenzisi abakukhathalelayo. Ama-rubrikhi acacile kanye ne-regression suite ngokuvamile kubaluleke ngaphezu kwe-score eyodwa.
Ukuhlolwa kokuqina kuzosebenza ukuze imodeli ingaphuki lapho kufakwa umsindo
Hlola imodeli ngokucindezela ngamaphutha okubhala, amanani angekho, ukufometha okungajwayelekile, kanye ne-unicode engeyona ejwayelekile, ngoba abasebenzisi bangempela abavamile ukuhleleka. Engeza izimo zokushintsha kokusabalalisa njengezigaba ezintsha, isi-slang, izinzwa, noma amaphethini olimi. Faka amanani adlulele (izintambo ezingenalutho, imithwalo emikhulu, izinombolo ezingaphandle kwebanga) ukuze kuvele ukuziphatha okubuthakathaka. Kuma-LLM, hlola futhi amaphethini okufaka ngokushesha kanye nokwehluleka kokusebenzisa amathuluzi njengokuphelelwa yisikhathi noma ukuphuma okungaphelele.
Ukuhlola izinkinga zokukhetha kanye nokulunga ngaphandle kokulahlekelwa yimfundiso
Hlola ukusebenza ezingcezu ezinengqondo bese uqhathanisa amazinga amaphutha kanye nokulinganiswa kuwo wonke amaqembu lapho kufanele khona ngokomthetho nangokokuziphatha ukulinganisa. Bheka izici ze-proxy (njengekhodi ye-zip, uhlobo lwedivayisi, noma ulimi) ezingabhala ikhodi yezimpawu ezibucayi ngokungaqondile. Imodeli ingabonakala "inembile iyonke" ngenkathi yehluleka njalo kumaqoqo athile. Bhala phansi lokho okulinganisile nalokho ongakulinganisanga, ukuze izinguquko zesikhathi esizayo zingaphindi zibuyisele emuva buthule.
Ukuhlolwa kokuphepha nokuphepha okufanele kufakwe ezinhlelweni zokukhiqiza ze-AI kanye ne-LLM
Hlola ukukhiqizwa kokuqukethwe okungavunyelwe, ukuvuza kobumfihlo, ukubona izinto ezingekho emthethweni ezindaweni eziyingozi kakhulu, kanye nokwenqaba ngokweqile lapho imodeli ivimba izicelo ezivamile. Faka phakathi imizamo yokufaka ngokushesha kanye nokukhipha idatha, ikakhulukazi lapho uhlelo lusebenzisa amathuluzi noma luthola okuqukethwe. Ukuhamba komsebenzi okusekelwe ku: chaza imithetho yenqubomgomo, yakha isethi yesicelo sokuhlola, thola amaphuzu ngokuhlola okuzenzakalelayo komuntu kanye nomuntu, bese uyiphinda uyiqalise noma nini lapho kushintsha izicelo, idatha, noma izinqubomgomo. Ukuvumelana yirenti oyikhokhelayo.
Ukuqalisa nokuqapha amamodeli e-AI ngemva kokuqaliswa ukuze kubanjwe ukukhukhuleka kanye nezigameko
Sebenzisa amaphethini okukhishwa kwesigaba njengemodi yesithunzi kanye nemigwaqo yethrafikhi eqhubekayo ukuze uthole ukwehluleka ngaphambi kokuba isisekelo sakho esiphelele sabasebenzisi senze kanjalo. Qapha ukugeleza kokufaka (izinguquko zeschema, ukuntuleka, ukushintshwa kokusabalalisa) kanye nokugeleza kokukhipha (ukushintsha kwamaphuzu, ukushintshwa kwebhalansi yekilasi), kanye nempilo yokusebenza njengokulibaziseka kanye nezindleko. Landelela izimpawu zempendulo ezifana nokuhlelwa, ukukhushulwa, kanye nezikhalazo, bese ubuka ukugudluka kwezinga lesigaba. Uma noma yini ishintsha, phinda usebenzise i-harness efanayo bese uqhubeka nokuqapha njalo.
Izinkomba
[1] I-NIST - Uhlaka Lokuphathwa Kwengozi Yobuhlakani Bokwenziwa (AI RMF 1.0) (PDF)
[2] UMitchell et al. - “Amakhadi Emodeli Okubika Imodeli” (arXiv:1810.03993)
[3] UGebru et al. - “Amashidi Edatha Yamasethi Edatha” (arXiv:1803.09010)
[4] scikit-learn - Imibhalo “Yokukhetha nokuhlola Imodeli”
[5] ULiang et al. - “Ukuhlolwa Okuphelele Kwamamodeli Olimi” (arXiv:2211.09110)