Tabbatar da Daidaito da Ruwaito na Gaskiya

Yadda muke kiyaye babban matsayi cikin labaran mu da AI ya samar

A Duk Labarai, daidaito shine babba. Muna amfani da tsarin multilayer don tabbatar da cewa labaran da AI ya samar sun kasance na gaskiya, rashin son zuciya da amfani. Wannan shine yadda muke yi.

Tattara Tushe daga Channels daban-daban

Tsarin mu yana farawa da cikakken tattara tushe daga channels da yawa:

RSS feeds: Muna tattara labarai daga dubunnan RSS feeds a duk tushoshi na duniya da na gida.
Google News: Bincike masu manufa yana taimakawa wajen gano breaking news da niche topics.
Social media: Muna lura da platforms kamar X (tsohon Twitter) don updates na real-time da public discourse.

Muna tace tushoshi bisa recency da ingancin abun ciki don tabbatar da aiki tare da mafi dacewa da amfani na bayanai.

Cire Abun Ciki da Grounding

Ga kowane URL na tushe, muna cire babban abun ciki ta web scraping, cire tallace-tallace, navigation da abubuwan da ba su da amfani. Wannan raw content sannan yana haɗa kai tsaye cikin prompts na AI mu, fasaha da ake kira "grounding".

Grounding yana hana hallusination ta hanyar tabbatar da cewa AI yana samar da taƙaitacce bisa abun ciki na tushe da aka bayar kawai, ba bisa ilimi da aka horar da shi ba wanda zai iya zama tsoho ko rashin daidaituwa.

Kurataccen AI da Rubutu

AI ɗin mu yana curate tushoshi masu alaƙa cikin tsararrun kungiyoyi, sannan yana rubuta labarai bisa abun ciki da aka tattara. Tsarin rubutu yana jaddada:

Gaskiya da tsaka tsaki
Taƙaitacce, na gaskiya
Citation na duk URLs na tushe

Wannan tsarin yana rage son zuciya da tabbatar da cikakken rufe abubuwan da suka faru.

Automatic Fact-Checking

Ga batutuwa masu hankali (rukunan YMYL kamar kuɗi, lafiya da siyasa), muna yi amfani da karin fact-checking:

AI verification a kan abun ciki na tushe
Cross-reference da sakamakon bincike na web
Automatic rewrite idan an sami rashin daidaituwa

Wannan mataki na post-processing yana ƙara karin layer na validation ga batutuwa masu haɗari.

Kulawar Dan Adam da Manual Reviews

Duk da tsarin mu na automated, gwanintar ɗan adam har yanzu yana da muhimmanci. Kungiyarmu tana yi na yau da kullum manual reviews na labarai, musamman:

Sabbin batutuwa ko trends masu tasowa
Abubuwan geopolitics masu rikitarwa
Potenshal bias ko sensitivity issues

Ba mu sami kurakurai ba a recent reviews, godiya ga techniques na grounding mu.

Kulawar Inganci da Mai Amfani ke Jagora

Muna ba masu karantun mu ikon bayar da gudummawa ga daidaito ta hanyar tsarin ruwaito mu. Masu amfani za su iya yi alama labarai don review, wanda ke haifar da bincike na ɗan adam nan take. Wannan tsarin na gama gari yana taimakawa wajen kama duk wani edge cases da tsarin mu na automated zai iya rasa.

Alkawarin mu na gaskiya da bayyana gaskiya

Daidaito ba fasali ba ne kawai – shine tushem mu. Muna ci gaba da gyara tsararrun mu, invest cikin mafi kyawun AI models, da kiyaye sadarwa na buɗe game da hanyoyin mu. Kowane labari yana haɗa da haɗin tushe, maki na amincewa, da alamun fact-checking don gina amincewa da masu karantun mu.