Buyela Ezindabeni
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Abacwaningi benza imodeli yokuthi ukusetshenziswa kwe-LLM kungadala kanjani ukuncika kwengqondo

Imodeli yephepha entsha ye-arXiv yokutholwa kwe-LLM njengenqubo yezenhlalo efana negciwane, ehlonza amaphuzu angaba khona wokuncika okuqhubekayo kanye nezimo ezingalondoloza ukuzimela kwengqondo.

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Source-page capture accompanying Researchers model how LLM use could create cognitive dependence
Inkomba yomthomboUmthombo urekhodiwe
Umshicileli
doi.org
Isixhumanisi somthombo
doi.orghttps://doi.org/10.48550/arXiv.2609.03344
Uhlobo lomthombo
Umthombo oxhunyiwe โ€” isimo somthombo oyinhloko asikasungulwa.
UmongoQonda lokhu ngemizuzwana engama-60

Qala lapha

Imigomo ebalulekile

Imodeli Yolimi Olukhulu (LLM)
Imodeli yolimi eqeqeshwe ku-massive text corpora ukuze ikhiqize futhi ihlaziye umbhalo.
Ipharamitha
Isisindo esifundiwe ngaphakathi kwemodeli enomthelela ekuphumeni kwayo.
Isethi yedatha
Iqoqo lezibonelo ezihlelekile noma ezingahlelekile ezisetshenziselwa ukuqeqeshwa, ukuqinisekiswa, noma ukuhlola.
ZihloleYini i-AI? Imibuzo

Kwenzekeni

Abacwaningi bahlongoze uhlaka lwezibalo lokuqonda ukuthi ukusetshenziswa kwemodeli yolimi olukhulu kusabalala kanjani phakathi kwabantu futhi kugxiliswe emikhubeni yengqondo nengokwesiko. Imodeli ihlukanisa abasebenzisi abangahlanganisiwe, abahlanganiswe futhi abancike ngokuqhubekayo, futhi ihlola ukuthi ukudluliswa komphakathi, ukubuyisela kanye nokuqinisa okuhlangene kungase kuhlanganyele kanjani.

Iphepha le-arXiv elithunyelwe ngomhla zi-3 kuSepthemba 2026, elinesihloko esithi "Amamodeli Olimi Olukhulu Njengegciwane Lokuqonda," liphakamisa ukuthi kusetshenziswe isifaniso segciwane ukuze kufundwe ukuthi ukusetshenziswa kwe-LLM kusakazeka kanjani phakathi kwabantu. Ababhali bachaza ama-LLM njengengxenye yezinqubo zamasiko nezingqondo ngokudluliselwa komphakathi.

I-abstract ithi amamodeli ohlaka ashintsha phakathi kwabasebenzisi abangahlanganisiwe, abasebenzisi abahlanganiswe nama-LLM, kanye nabasebenzisi abancika ngokuqhubekayo. Ihlola ukusebenzisana kokudluliselwa, ukubuyisela kanye nokuqiniswa okuhlangene, ababhali abathi kungaveza amaphuzu okukhipha kanye nokukhiya kwezobuchwepheshe.

Ngokombono wababhali, ukweqa umkhawulo obalulekile kungavumela ukwanda okuncane kokutholwa ukuze kukhiqizwe umnyakazo osheshayo wezinga labantu ukuya ekuncikeni okuqhubekayo, okuhambisana nokulahlekelwa okungazelelwe kokwazi kwengqondo. Uhlaka olufanayo luhlonza izimo ezingaba khona zalokho ababhali abakubiza ngokuthi ukugoma kwengqondo: ukunciphisa ukusuleleka nokwenza kube lula ukuhlehla.

Irekhodi lomthombo lihlonza umsebenzi njengamakhasi ayi-12, isibalo sabantu abathathu ku-Physics and Society, esinezigaba ezengeziwe kumakhompiyutha nomphakathi, izinhlelo zokuzijwayeza nokuzihlela, kanye nezibalo zabantu nokuziphendukela kwemvelo. Izinto ezinikeziwe azihlinzeki ngezibalo zephepha, amanani epharamitha, idathasethi yedatha, noma ukuqinisekiswa kokuhlola.

Imininingwane yomthombo: doi.org โ†—

Kungani kubalulekile

Iphepha liphatha ukuncika kwe-LLM njengenqubo ehlangene yenhlalo nokuqonda esikhundleni sokukhetha ukusetshenziswa komuntu ngamunye. Igalelo layo eliyinhloko liwuhlaka lokucabanga ngokuthi ukutholwa kungaba nzima kanjani ukuhlehla uma imiphumela yokuqinisa isidlule umkhawulo. Umphumela usekelwe emcabangweni futhi usekelwe kumodeli, ngakho awuqinisekisi ukuthi inguquko enjalo iyenzeka noma ilinganisele ukuba khona kwayo.

Uhlaka lungasiza abacwaningi nabakhi bezinqubomgomo babuze imibuzo enembayo mayelana nokuncika: ukuthi abantu bangayeka yini ukusebenzisa i-LLM ngaphandle kokulahlekelwa amandla, ukuthi ontanga kanye nezinkambiso zesikhungo zikuthinta kanjani ukutholwa, futhi lapho lula kungena khona ukungena.

Ukugcizelela kwayo ekubuyiseleni emuva kunomphumela osebenzayo womkhiqizo nokwakheka kwesikhungo. Amasistimu agcina umkhuba ongasizwanga, enza ukuhoxiswa kwenzeke futhi agweme ukwenza ukuhamba komsebenzi okubalulekile kuncike kumodeli eyodwa angase anciphise izingozi ezichazwe uhlaka lwephepha.

Izimangalo eziqine kakhulu zephepha zihlala zinemibandela. I-abstract ibika ukuthi imodeli ingakhiqiza ini ngaphansi kokuqagela kwayo, hhayi ukwehla okubonwa ngabantu bonke emandleni okuqonda. Awukho umthelela oyimbangela kubasebenzisi, ukunemba kwesibikezelo, isincomo sokufinyelela noma ukuphumelela kokungenelela okusungulwa umthombo onikeziwe.

Interactive Mechanism

I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela

Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
I-Interactive Concept Check+10 Points
What is AI? Quiz

A route planner searches possible journeys using explicit rules. What does this illustrate about AI?

Ongakubuka ngokulandelayo

Ukuhlola okulandelayo okuwusizo ukuthi amaphuzu abikezelwe emodeli ahambisana namaphethini aphawuliwe okusetshenziswa kwe-LLM, ukugcinwa kwamakhono kanye nokungahlangani ngokuzithandela. Umthombo onikeziwe awukhombi imikhawulo eqinisekisiwe, imiphumela yabantu elinganisiwe, noma ukungenelela okuhloliwe ekusebenzeni.

Abacwaningi abazimele bazodinga ukuhlola ukuthi ingabe ukutholwa kwe-LLM yomhlaba wangempela kuyalandela yini izinguquko ezibikezelwe zemodeli nokuthi ingabe ukusetshenziswa kukhiqiza ukulahlekelwa okulinganisekayo, okuqhubekayo ekusebenzeni okungasizwanga.

Okungaziwa okubalulekile kufaka phakathi ukuqagela kwepharamitha yemodeli, ukuthi ichaza kanjani ikhono lengqondo nokuncika, ukuthi ama-threshold ahlongozwayo aqinile yini kuzo zonke izizwe, nokuthi ukululama kukalwa kanjani.

Umthombo awuwubhali umkhiqizo, ukungenelela okubheke umsebenzisi, indlela yokufinyelela noma intengo. Irekhodi lokuphrinta le-arXiv elifinyeleleka ngokukhululekile, kodwa i-abstract iyodwa ayibonisi ukuthi ikhodi ehambisana naso noma idatha iyatholakala yini.

Imihlahlandlela ehlobene nemibuzo

Yini i-AI?ChatGPT ne-LLMsUkuziphatha kwe-AIIkusasa le-AIHlola okwaziyo โ€” zama imibuzo ye-AI yamahhalaBheka igama le-AI kuhlu lwethu lwamagamaLandela i-tracker yokukhishwa kwemodeli ye-AI
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