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IndasitiriAI Understanding muchidimbu

Resect inokwidza madhora makumi maviri neshanu emamiriyoni ekugadzira mukati-murukova kudzora kudzora

QUASA inoshuma kuti Resect yakwidza madhora miriyoni makumi maviri neshanu kugadzira software ine chinangwa chekuona nekushandura hunhu hwemutauro wakakura panguva yechizvarwa. Iyo kambani yepakati tekinoroji kudai inoramba isina kusimbiswa neyakazvimirira yekugadzira-modhi yekuyedza.

4 min readRead the linked source
Source-provided image accompanying Resect raises $25 million to develop in-stream hallucination controls
Source referenceKwakanyorwa
Muparidzi
quasa.io
Source link
quasa.iohttps://quasa.io/insights/resect-raises-25m-to-stop-hallucinations-midstream-proof-comes-next
Source type
Yakabatanidzwa sosi - yekutanga-sosi mamiriro haasati asimbiswa.
ContextNzwisisa izvi mumasekonzi makumi matanhatu

Tanga pano

Matemu akakosha

Kufungidzira
Kana modhi inogadzira ruzivo rwakatsetseka asi rwenhema kana rusingatsigirwe.
Mutauro Mukuru (LLM)
Mutauro wemodhi yakadzidziswa pane yakakura text corpora kugadzira nekuongorora zvinyorwa.
Inference
Chikamu chenguva yekumhanya apo modhi yakadzidziswa inogadzira fungidziro kana zvinobuda.
Zviedze iwe pachakoAI Models Inotsanangurwa Mibvunzo

Chii chaitika

QUASA inoshuma kuti Resect yakabuda kubva mukubira muWashington state munaGunyana 3, 2026, iine madhora miriyoni makumi maviri neshanu mumari uye chikumbiro chesoftware yaizoona, kuona, kududzira, kuongorora, uye kugadzirisa hunhu hwemutauro mukuru-yemhando apo mhinduro dziri kugadzirwa.

QUASA inoti mari iyi ichatsigira kutsvagisa nekusimudzira, kushambadzira, uye kuhaya kwakatenderedza Seattle nePortland. Chirevo ichi chinoti vanoisa mari, kukoshesa, nhanho yekubhadhara mari, uye zviitiko zvehunyanzvi zvakabatanidzwa nemari hazvina kuburitswa. Ichitaura nezvekuvhurwa kweGeekWire, QUASA inoisa Resect's headcount pamakumi matatu, asi inoti ruzivo rwevashandi haruratidzi kana vatengi vari kumhanyisa vatyairi vendege kana kuti chirongwa chekutengesa chingangowanikwa.

Iyo tekinoroji yakatsanangurwa inotsanangurwa sekushanda panguva yekugadzira modhi pane kungoongorora zvinyorwa zvakapedzwa. Sekureva kweQUASA, inoitirwa kuona kutadza kuri kusimukira, kushandura maitiro emuenzaniso mhinduro isati yasvika kumushandisi, uye kuchengetedza nzira yekuongorora. Chirevo chinoti zviwanikwa zveveruzhinji hazvitsanangure zvinokonzeresa masaini, nzira yekupindira, inodiwa yemhando yekuwana, inotsigirwa zvivakwa kana inferensi injini, kana kuti system inoshanda kuburikidza neiyo proprietary model APIs.

QUASA inoti ongororo yeRuntimeWire yakawana maApache 2.0-ane rezinesi reVeritas achitarisa mamodheru ane 0.6-bhiriyoni uye 8-bhiriyoni. Chirevo ichi chinonongedza avhareji yakadhindwa yekambani ye72.30% yemhando diki paLLM-AggreFact, zvichienzaniswa ne64.93% yeyakatsanangurwa Qwen3 yekutanga mune isiri-yekufunga maitiro. QUASA inoverengera mutsauko se7.37 muzana yemapoinzi, ichisimbisa kuti iyi mhedzisiro yekuzvitsvagisa kune imwe yechokwadi-yekutarisa setup, kwete yakazvimirira ongororo yeResect's yakarongwa in-stream control.

Kwakabva mashoko: quasa.io ↗

Nei zvichikosha

Kana yakaratidzwa, kupindira kunoshanda panguva yechizvarwa kunogona kupa masangano nzvimbo yekutonga mhinduro isati yasvika kumushandisi, uku ichigadzira marekodhi ekuongorora gare gare. Izvo zvinogona kubatsira mu-high-stakes deployments uko post-chizvarwa chekutarisa kunonoka. Iko kukosha kunoshanda hakuna kusimbiswa, zvisinei: humbowo hunotsanangurwa neQUASA hune chekuita nemhando dzekutarisa chokwadi, kwete yekuzvimiririra kuyedzwa kweimwe yakaparadzana system inoona uye kugadzirisa zvikanganiso munguva chaiyo.

Musiyano uripo pakati pekutarisa kupera kwakabuda uye kushandura maitiro emuenzaniso panguva yekufungidzira kwakakosha. Iyo chaiyo-nguva yekudzora inoda kuziva chikanganiso nekukurumidza kuti upindire, kudzivirira kudzvanya mhinduro dzisina kujairika asi dzakaringana, uye kugadzirisa mhedzisiro pane kungoivharira. Izvo zvinodawo kushanda kune ese mamodheru uye nzvimbo dzekutumira dzinoshandiswa nevatengi vemabhizinesi.

Iyo sosi haibvumire yakazvimiririra kuti mari yemadhora miriyoni makumi maviri neshanu yakavharwa, inozivisa vanoisa mari, kana kuratidza kuti Resect ine inoshanda bhizinesi chigadzirwa. Izvo zvakare hazvipi humbowo hwekuti yakadudzwa Veritas mhedzisiro inotamisa kune zvigadzirwa zvekugadzira, yakavharwa modhi APIs, inozvigashira masisitimu, kana mamodheru akakwenenzverwa.

Interactive Mechanism

Interactive Mechanism: Iyo Inonyatsoshanda

Ongorora ari pasi tekinoroji kuseri kwekusimudzira uku uchipindirana.

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.
Interactive Concept Check+10 Points
AI Models Explained Quiz

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

Zvekutarisa zvinotevera

Muedzo wakakosha ndewekuti Resect inogona kuburitsa humbowo hunoratidza kuti kupindira kwayo kunodzivirira kuonesa pasina kuisa latency isingagamuchirwe, compute mitengo, kana manyepo. Kuwanikwa, mitengo, mamodheru anotsigirwa, uye kuwanikwa kwese hazvizivikanwe parizvino.

Humbowo hune chinangwa hunosanganisira vhezheni software uye evaluation artifacts, reproducible in-stream benchmarks, chaiyo modhi uye -yemamiriro ekunze, tsanangudzo yakajeka yekufungidzira, uye zviyero zvakaparadzana zvekuonekwa, kugadzirisa kwakabudirira, manyepo, uye nhema dzisina kunaka.

Migumisiro yekushanda ichave yakakosha sekururama. Resect inofanirwa kuburitsa latency, throughput, uye compute mashandisirwo ane control inogoneswa uye yakaremara, pamwe nematrix inopindirana inovhara akavhurika-huremu modhi, akasiyana-akanyatso-tuned akasiyana, ega-akagashira stacks, uye akavharwa APIs.

QUASA inoti enterprise suite haiwanikwe zvakanyanya sechigadzirwa chakapera. Sosi yacho haipe maitiro ekuwana, runyorwa rwevatengi, mhedzisiro yekutyaira, zuva rekuburitsa, kana mitengo, saka izvo zvinoramba zvisingazivikanwe.

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