Komawa Labarai
Masana'antuAI Understanding takaitaccen bayani

Resect yana tara dala miliyan 25 don haɓaka abubuwan sarrafa hallucination a cikin rafi

QUASA ta ba da rahoton cewa Resect ya tara dala miliyan 25 don haɓaka software da aka yi niyya don ganowa da kuma canza halayen babban yare a lokacin tsarawa. Har yanzu ba a tabbatar da da'awar fasaha ta tsakiyar kamfanin ta gwajin ƙirar samarwa mai zaman kanta.

4 min readRead the linked source
Source-provided image accompanying Resect raises $25 million to develop in-stream hallucination controls
Tushen tusheAn rubuta tushen tushe
Mawallafi
quasa.io
Tushen hanyar haɗin gwiwa
quasa.iohttps://quasa.io/insights/resect-raises-25m-to-stop-hallucinations-midstream-proof-comes-next
Nau'in tushe
Tushen da aka haɗa - ba a kafa matsayin tushen farko ba.
MaganaFahimtar wannan a cikin daƙiƙa 60

Fara a nan

Mabuɗin sharuddan

Hallucination
Lokacin da samfurin ya haifar da ƙwaƙƙwaran amma bayanan karya ko mara tallafi.
Babban Samfurin Harshe (LLM)
Samfurin harshe da aka horar akan babban haɗin gwiwar rubutu don samarwa da tantance rubutu.
Inference
Lokaci lokacin aiki inda ƙwararren ƙirar ke haifar da tsinkaya ko fitarwa.
Gwada kankaAI Model An Bayyana Tambayoyi

Me ya faru

QUASA ta ba da rahoton cewa Resect ya fito daga sata a jihar Washington a ranar 3 ga Satumba, 2026, tare da dala miliyan 25 a cikin ba da kuɗaɗen kuɗi da kuma shawarar software da za ta kiyaye, ganowa, fassara, tantancewa, da kuma gyara halayen babban yare-samfurin yayin da ake samar da amsoshi.

QUASA ta ce tallafin zai tallafawa bincike da haɓakawa, kasuwanci, da ɗaukar hayar a kusa da Seattle da Portland. Rahoton ya ce ba a bayyana masu saka hannun jari, kimantawa, matakin samar da kudade na yau da kullun, da kuma matakan fasaha da ke daure da kudaden ba. Da yake ambaton ƙaddamar da ƙaddamar da GeekWire, QUASA ya sanya adadin Resect a 30, amma ya ce bayanan ma'aikatan ba su nuna ko abokan ciniki suna gudanar da matukin jirgi masu sarrafawa ko kuma lokacin da tsarin kasuwanci zai iya kasancewa gabaɗaya.

An siffanta fasahar da aka tsara a matsayin aiki yayin samar da samfuri maimakon kawai auna kammala rubutun. A cewar QUASA, an yi niyya ne don gano gazawa mai tasowa, canza halayen ƙirar kafin amsar ta isa ga mai amfani, da adana hanyar duba. Rahoton ya ce kayan jama'a ba sa yin bayanin siginar faɗakarwa, hanyar shiga tsakani, samun samfurin da ake buƙata, kayan gine-ginen tallafi ko injunan ƙira, ko kuma tsarin yana aiki ta hanyar APIs na mallakar mallaka.

QUASA ta ce wani bita na RuntimeWire ya samo samfuran duba gaskiyar Veritas mai lasisi Apache 2.0 tare da sigogin 0.6-biliyan da biliyan 8. Rahoton ya buga matsakaicin daidaiton daidaiton daidaiton kamfani na 72.30% don ƙaramin ƙirar akan LLM-AggreFact, idan aka kwatanta da 64.93% don ƙayyadadden tushen Qwen3 a cikin yanayin rashin tunani. QUASA tana ƙididdige bambance-bambance a matsayin maki 7.37 na kashi, yayin da ke jaddada cewa wannan sakamakon rahoton kai ne don takamaiman saitin bincikar gaskiya, ba ƙima mai zaman kansa na tsarin kulawar rafi na Resect ba.

Bayanan tushe: quasa.io ↗

Me ya sa yake da mahimmanci

Idan an nuna, sa baki da ke aiki a lokacin tsarawa zai iya ba ƙungiyoyin ma'auni kafin amsa ta isa ga mai amfani, yayin ƙirƙirar bayanan don bita daga baya. Wannan na iya zama da amfani a manyan ayyukan turawa inda binciken bayan tsara ya yi latti. Ba a kafa ƙima mai amfani ba, duk da haka: shaidar da QUASA ta kwatanta ta shafi ƙirar tantance gaskiya, ba gwaji mai zaman kansa na wani tsarin daban wanda ke ganowa da gyara kurakurai a cikin ainihin lokaci ba.

Bambance-bambancen da ke tsakanin duba fitar da aka gama da canza halayen samfurin a yayin da ake yin la'akari yana da sakamako. Ikon sarrafawa na ainihi zai buƙaci gane kuskure da wuri don shiga tsakani, guje wa murkushe sabbin amsoshin da ba a saba gani ba, da inganta sakamako na ƙarshe maimakon toshe shi kawai. Hakanan zai buƙaci yin aiki a cikin samfura da mahallin turawa waɗanda masu siyan masana'antu ke amfani da su.

Majiyar ba ta tabbatar da kanta ba cewa an rufe tallafin dala miliyan 25, gano masu saka hannun jari, ko kuma tabbatar da cewa Resect yana da samfurin kasuwanci mai aiki. Hakanan baya bayar da shaida cewa sakamakon Veritas da aka ambata yana canjawa zuwa aikace-aikacen samarwa, rufaffiyar ƙirar APIs, tsarin sarrafa kai, ko ƙirar ingantaccen tsari.

Interactive Mechanism

Ingantacciyar hanyar sadarwa: Yadda A zahiri yake Aiki

Bincika fasahar da ke bayan wannan ci gaban ta hanyar mu'amala.

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.
Duba ra'ayi na hulɗa+10 Points
AI Models Explained Quiz

Which component of an AI application is the machine-learning model itself?

Abin kallo na gaba

Makullin gwajin shine ko Resect zai iya buga shaidar da za'a iya maimaitawa cewa sa hannun sa na hana ruɗi ba tare da sanya latti mara karɓuwa ba, ƙididdige farashi, ko tabbataccen ƙarya. Samun shiga, farashi, samfura masu goyan baya, da wadatar gabaɗaya a halin yanzu ba a san su ba.

Mahimman wuraren hujja zasu haɗa da sigar software da kayan tarihi na ƙima, ma'auni a cikin rafi, ainihin samfuri da cikakkun bayanan mahalli, bayyanannen ma'anar , da ma'auni daban don ganowa, gyare-gyare mai nasara, tabbataccen ƙarya, da rashin kyau.

Sakamakon aiki zai zama mahimmanci gwargwadon daidaito. Ya kamata Resect ya bayyana jinkiri, fitarwa, da ƙididdige amfani tare da kunna sarrafawa da nakasassu, da matrix mai dacewa da ke rufe nau'ikan nau'ikan nauyi mai buɗewa, bambance-bambancen da aka daidaita masu kyau, tarin ra'ayi mai ɗaukar nauyi, da rufaffiyar APIs.

QUASA ta ce rukunin kasuwancin ba ya samuwa gabaɗaya azaman samfurin da aka gama. Madogararsa ba ta ba da hanyar shiga ba, lissafin abokin ciniki, sakamakon matukin jirgi, kwanan watan fitarwa, ko farashi, don haka waɗanda ba a san su ba.

Jagorori masu alaƙa & tambayoyin tambayoyi

AI Model ya bayyanaƊa'a ta AIAI horoGwada abin da kuka sani - gwada gwajin AI kyautaNemo kalmar AI a cikin ƙamus ɗin muBi mai bin sawun tallafin AI
An sami wannan yana da amfani?