Nduzi Asụsụ AI

Ntinye Asụsụ Eke na Mmasị

Ntụle asụsụ okike na-ajụ ma otu ahịrịokwu na-esite na nke ọzọ.

2 nkeji na-agụEmelitere ikpeazụ

Nchịkọta

It is a foundational test of whether models truly understand meaning rather than just matching words.

Ime miri emi

Nkwenye asụsụ eke (NLI), nke a na-akpọkwa ịmata ihe ederede, na-enye ihe atụ ihe ngosi na nkwupụta ma rịọ maka otu n'ime aha atọ: entailment (nkwupụta ahụ ga-abụrịrị eziokwu nyere ihe mbụ), esemokwu (ọ ghaghị ịbụ ụgha), ma ọ bụ na-anọpụ iche (ọ nwere ike ịbụ). Dị ka ihe atụ, echiche bụ́ 'Nwoke na-akpọ ụbọ n'ogbo' gụnyere 'Mmadụ na-akụ egwú,' na-emegide 'Oge egwuregwu ahụ tọgbọrọ chakoo,' na-anọpụkwa iche n'ebe 'ìgwè mmadụ hụrụ abụ ahụ n'anya.' Ihe ntọt data benchmark dị ka SNLI na MultiNLI nwere ọtụtụ narị puku ụzọ abụọ akpọrọ mmadụ. NLI na-akwado ịlele eziokwu, ịza ajụjụ na nkwenye nchịkọta. Ọnyà a ma ama bụ na ụdị nwere ike iji 'akụrụngwa' dataset mee ihe - akara mkpirisi dị ka okwu 'abụghị' na-egosi mgbagha - kama ịtụgharị uche maka ihe ọ pụtara.

Nghọta nka nka

Sistemụ NLI ọgbara ọhụrụ na-edobe ntọala na echiche n'ịkọkọ na mgbanwe dị ka BERT ma ọ bụ RoBERTa, na-enye mkpụrụokwu abụọ ahụ kewapụrụ site na akara pụrụ iche, wee kewaa ihe nnochite anya ọnụ ka ọ bụrụ ihe nhụsianya, mgbagha, ma ọ bụ nnọpụiche. Nleba anya na-eme ka okwu ọ bụla dị na nkwupụta ahụ banye n'okwu ntọala dabara adaba, na-ewere mmekọrịta dị ka nhụsianya, ọnụọgụ, na okwu. Ọzụzụ na-ebelata mfu-entropy n'elu akara atọ dị n'ofe nnukwu ụlọ ọrụ edepụtara.

Mmetụta atụmatụ

Ọsọ na ọnụ ọgụgụ

Usoro ọrụ asụsụ nwere ike ịga ngwa ngwa n'achụghị nkwụsi ike.

Nweta na iru

Ọ na-agbasawanye ohere n'ofe asụsụ na ụdị nzikọrịta ozi.

Mkpebi doro anya

Ndị otu nwere ike itinyekwu oge na ikpe ebe akpaaka na-ejikwa nkwughachi.

Ọdịnihu nke ntinye asụsụ okike na mmekọ

A na-ejikarị NLI eme ihe dị ka ihe mgbochi ụlọ karịa ọrụ njedebe: ọ na-enye ike nchọpụta ihe nhụsịrị anya na-akpaghị aka, ebe a na-enyocha nkwupụta a na-emepụta maka itinye aka megide akwụkwọ ndị na-emepụta ihe, yana ihe mgbakwasị ụkwụ na-eweghachite. Ndị na-eme nchọpụta na-aga n'ihu n'usoro nrịbama siri ike, nke na-emegide na ọtụtụ asụsụ nke na-emegide ọrụ mkpirisi ụzọ, yana n'ebe ntinye nkọwa nke na-egosi okwu ndị na-akwado akara. Na-atụ anya nlele nlele agbakwunyere ozugbo n'ime pipeline nkwenye LLM.

Mmejuputa n'ezie n'ụwa

Sistemụ nyocha nke eziokwu na-achọpụta ma ọ̀ bụ ihe akaebe tụkwasịrị obi metụtara nkwupụta

Ịchọta ihe ọhụhụhụ site n'ule ma ọ bụrụ na isiokwu isi mmalite gụnyere nchịkọta ewepụtara

Ịkwalite ọchụchọ na QA site n'ịkwado azịza onye nyocha na-esote site na akụkụ

Na-enyocha nkwupụta ndị na-emegiderịta onwe ha na ntọala ihe ọmụma na pipeline ọtụtụ akwụkwọ

Ihe ize ndụ & okporo ụzọ nche

Eziokwu ndị e chepụtara echepụta nwere ike jiri nwayọ tinye akụkọ, nkwado nkwado, ma ọ bụ nsonaazụ nyocha.

Mmetụta ngwa ngwa nwere ike ịmepụta nsonaazụ na-ekwekọghị ekwekọ n'ofe arịrịọ ndị yiri ya.

Enwere ike ikpughe data ederede nwere mmetụta ma ọ bụrụ na njikwa ohere adịghị ike.

Map mmejuputa

1

Kọwaa usoro mmepụta, ụda, na ụkpụrụ ịdịmma tupu ibugharị.

2

Weghachite nzaghachi site na isi mmalite ntụkwasị obi mgbe ọ bụla izi ezi dị mkpa.

3

Debe ebe nleba anya mmadụ maka mpụta dị elu.

4

Sochie ụkpụrụ ọdịda ma na-azụghachi mkpali ma ọ bụ usoro ọrụ mgbe niile.

Nọgide na-eme nchọpụta

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Ntuziaka na-esote

Perplexity na nha asụsụ

Ajụjụ a na-ajụkarị

What is Natural Language Inference and Entailment?

Ntụle asụsụ okike na-ajụ ma otu ahịrịokwu na-esite na nke ọzọ. Ọ bụ ule ntọala nke ma ụdị na-aghọta ihe ọ pụtara n'ezie kama naanị okwu dakọtara.

Gịnị bụ akara atọ ọkọlọtọ na ntinye asụsụ eke?

NLI na-ekewa otu ụzọ mmalite-ntụgharị uche dị ka ntinye, mgbagha, ma ọ bụ nnọpụiche.

Na NLI, kedu ihe 'entailment' pụtara?

Entailment pụtara na ntọala na-ekwe nkwa eziokwu nke echiche ahụ.

N'iburu n'uche na 'Nwoke na-akpọ ụbọ na ogbo,' kedu echiche bụ ihe megidere?

Ọ bụrụ na mmadụ na-egwu guitar na ogbo, ogbo ahụ enweghị ike ịbụ ihe efu, nke mere na echiche na-emegide echiche ahụ.

Kedu nsogbu 'dataset artifact' na NLI?

Artifacts bụ ụkpụrụ na-adịghị mma, dị ka okwu mmegide na-egosi mgbagha, nke na-ahapụ ụdị ịkọ aha aha na-enweghị nghọta.

Kedu datasets ka a na-eji na-azụ na nyocha NLI?

SNLI na MultiNLI bụ nnukwu ụlọ ọrụ akpọrọ aha mmadụ wuru kpọmkwem maka ntinye asụsụ eke.