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TypeSafe AI irekura Jev, icyitegererezo cyihuse kubakozi ba software

TypeSafe AI yashyize ahagaragara Jev, icyitegererezo cyayo cyambere 'Sisitemu ya mbere', itanga ubwoko-bwizewe, ibyemezo bishoboka muri 70-500m, ivuga ko byihuse kandi bihendutse kuruta LLMs-intego rusange kubikorwa byikora.

5 min readRead the linked source
Source-page capture accompanying TypeSafe AI releases Jev, a fast decision model for software agents
InkomokoInkomoko yanditse
Umwanditsi
typesafe.ai
Ihuza ry'inkomoko
typesafe.aihttps://typesafe.ai/blog/introducing-system-one-models-and-jev
Ubwoko bw'inkomoko
Inkomoko ihujwe - ibanze-isoko yimiterere ntabwo yashizweho.
Byatanzwe kandi

Inkuru iheruka gusubirwamo

ImirongoSobanukirwa ibi mumasegonda 60

Tangira hano

Amagambo y'ingenzi

API (Imigaragarire ya Porogaramu)
Inzira yuburyo bwa sisitemu imwe yohereza ibyifuzo no kwakira ibisubizo bivuye murindi sisitemu.
Ururimi runini (LLM)
Ururimi rwicyitegererezo rwahuguwe kumyandiko minini corpora kubyara no gusesengura inyandiko.
Kwiga gushimangira
Amahugurwa kubihembo byerekana aho umukozi yiga ibikorwa byongera kugaruka kwigihe kirekire.
IsuzumeIkibazo cya AI

Niki cyahindutse kuva cyatangazwa

  1. Byatangajwe bwa mbere
  2. Inkomoko itanga itangazo ryibanze ryatanzwe na TypeSafe AI risobanura imyubakire yubuhanga (RLCD, parallel sampling), ibipimo byihariye byerekana (70-500m yatinze, 40-200x yihuta), hamwe no kubona hakiri kare moderi ya Jev, ikaguka kuri raporo yambere yo gutangiza.

Byagenze bite

TypeSafe AI yatangaje ko hasohotse hakiri kare Jev, icyiciro gishya cya moderi ya AI yagenewe cyane cyane gufata ibyemezo byihuse, byubatswe mubikorwa bya software. Bitandukanye nururimi runini rwindimi zitanga inyandiko zikurikiranye, Jev akoresha uburyo bubangikanye bwububiko hamwe nuburyo bwo guhugura bwitwa for Calibrated Decisions (RLCD) kugirango asohore indangagaciro zishobora kuba zitaziguye. Isosiyete ivuga ko Jev igera ku rwego rw’ubwenge rusa n’umupaka LLMs ku mirimo yihariye ya 'Sisitemu ya mbere' mu gihe ikora 40x kugeza 200x byihuse, hamwe n’ibisubizo hagati ya 70m na ​​500m. Icyitegererezo cyashizweho kugirango gikureho salusitike nubwoko bwamakosa muguhagarika ibisubizo kubishushanyo mbonera byasobanuwe mbere, bigatuma bikwiranye nigihe-nyacyo cyo gusaba, gutunganya amakuru, hamwe nakazi gakorwa aho gutinda no kwizerwa ari ngombwa.

TypeSafe AI, isosiyete yavuye mumyaka ibiri yiterambere ryubujura, yasohoye ibicuruzwa byayo byambere, Jev, kubigeraho hakiri kare. Icyitegererezo cyashyizwe mubikorwa nka 'Sisitemu ya mbere', ijambo ryahumetswe na Daniel Kahneman itandukaniro riri hagati yo gutekereza vuba, gutegera no gutekereza buhoro, gutekereza nkana. Guhanga udushya ni ihinduka kuva autoregressive text generation to parallel sampling, ituma icyitegererezo kibyara ibisubizo byose mubibazo bimwe aho kuba ikimenyetso-cy-ikimenyetso.

Ubwubatsi bwa tekiniki burimo igishushanyo mbonera gishya hamwe nuburyo bwo guhugura bwitwa for Calibrated Decisions (RLCD). Ubu buryo bwibanda ku gutanga umusaruro hamwe n’inyangamugayo zishobora kuba inyangamugayo, kwemeza ko amanota yicyitegererezo yerekana amanota ajyanye nukuri. Icyitegererezo cyatezimbere ibisubizo byubatswe, bivuze ko bidatanga inyandiko-yubusa ahubwo byanditse indangagaciro zihuye nigishushanyo mbonera cyasobanuwe mbere, bityo bikuraho ibishoboka byamakosa yubwoko hamwe na salusitike murwego rwamakuru yubatswe.

TypeSafe ivuga ko Jev itanga inyungu zingenzi kurenza imipaka LLM ihari kubikorwa byihariye. Isosiyete ivuga ko igihe cyo gusubiza kirangira kugeza kuri 70m kugeza kuri 500m, ugereranije n'amasegonda 3 kugeza 329 kuri LLM isanzwe. Ibi bisobanurwa kumuvuduko wa 40x kugeza 200x kubibazo bya 'Sisitemu ya mbere'. Isosiyete iragaragaza kandi imikorere ikora neza, ivuga imibare igera kuri 193.6x yihuse na 444,6x ihendutse mu isuzuma ryimbere mu gihugu, nubwo basanga ibyo aribyo bigereranyo.

Icyitegererezo kuri ubu kiraboneka muburyo bwambere, hamwe nisosiyete ikora cyane mubateza imbere kurutonde. Ubu serivisi ishingiye ku burengerazuba bwa West Coast, kandi isosiyete yatangaje ko ibiciro bisobanutse ariko bishobora guterwa inkunga mu gihe gito. Isohora ryambere ryibanda kumyandiko ishingiye kuri leta yinjiza, hamwe ninkunga ya kardinali yamahitamo agera kuri 255, ukoresheje sisitemu y'ibyiciro bibiri kuri karidinari yo hejuru yo gucunga ubukererwe.

Ibisobanuro birambuye: typesafe.ai ↗

Impamvu ari ngombwa

Irekurwa ryerekana icyuho gikomeye mumikorere ya AI: ubukererwe no kutizerana muri rusange-intego LLMs iyo yinjijwe mumasoko yumusaruro. Mugutanga icyitegererezo gisohora ibyemezo byubatswe, byubwoko bwumutekano hamwe namanota yicyizere, TypeSafe ifasha abitezimbere gushira AI mubikorwa byinshyi byakazi, nkibikorwa nyabyo byabakoresha igihe nyacyo, ikarita nini yerekana amakarita, hamwe nibiti byicyemezo bigoye, nta hejuru yo gusesengura no kwemeza ibisubizo byubusa. Umuvuduko uvugwa hamwe nibikorwa byigiciro bishobora kugabanya inzitizi yo kwinjira mumashanyarazi akoreshwa na AI, bigatuma habaho gukoresha imanza zahoze mubukungu cyangwa tekiniki zidashoboka kubera imiterere itinda kandi yibeshya yibitekerezo bya LLM.

Icyifuzo cyibanze cya Jev nubushobozi bwacyo bwo gukora nka moteri yizewe, itinda-ryihuta rya moteri muri sisitemu ya software. Gakondo LLMs akenshi itinda cyane kandi ikunda kwibeshya kumikorere yigihe-nyacyo cyangwa gutunganya amakuru menshi. Mugutanga icyitegererezo cyemeza umusaruro-wizewe hamwe nibishobora guhinduka, TypeSafe ituma icyiciro gishya cyibikorwa bya AI bikoreshwa nakazi, nkigihe cyo gutanga amanota-nyayo, kugendana, hamwe nishami ryamashami, bishobora kwinjizwa muri code bitabaye ngombwa ko habaho gusesengura no kwemeza ibice.

Ingaruka zubukungu zirahambaye. Niba ikiguzi cyasabwe ninyungu byihuta bikomeza kubyara umusaruro, Jev irashobora gutuma AI ikora neza kugirango igere kubikorwa byinshi byubucuruzi. Isosiyete ikora igereranya na paradox ya Jevons, ivuga ko uko igiciro cy’ubwenge kigabanuka, icyifuzo cyacyo kiziyongera, gifungura imanza nshya zikoreshwa mbere zari zihenze cyane cyangwa zitinze kubishyira mu bikorwa.

Kwibanda kuri kalibibishoboka birashoboka cyane cyane mubikorwa bya entreprise aho gufata ibyemezo bisaba gusobanukirwa neza gushidikanya. Mugutanga amanota yicyizere gihamye kandi yinyangamugayo, Jev yemerera abitezimbere kubaka sisitemu zishobora gufata ibyemezo byuzuye bishingiye kumusaruro wicyitegererezo, aho gushingira kubisobanuro byubusa byubusa, bishobora kuba bidahuye kandi bigoye kubisobanura.

Interactive Mechanism

Uburyo bukoreshwa: Uburyo bukora

Shakisha ikoranabuhanga ryihishe inyuma yiri terambere.

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.
Kugenzura Ibitekerezo Byagenzuwe+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

Ibyo kureba

Abashinzwe iterambere bagomba gukurikirana ibitekerezo byihuse hakiri kare kubyerekeranye nimikorere yicyitegererezo mubikorwa byumusaruro, cyane cyane guhuzagurika kwayo hamwe nukuri kwayo. Isosiyete yavuze ko ibipimo ngenderwaho by’isuzuma bishobora kuba birimo kubogama, bityo hakaba hagenzurwa ubwigenge bw’umuvuduko uvugwa hamwe n’inyungu zikenewe. Byongeye kandi, kwagura ubushobozi bwa Jev burenze leta ishingiye ku nyandiko ku yandi makuru yandi, nk’amashusho, bizaba ikimenyetso cyerekana akamaro kanini mugukoresha ibintu bitandukanye.

Kugenzura kwigenga kubikorwa bisabwa ni ngombwa. TypeSafe yemeye ko ibipimo byabo byo gusuzuma bishobora kuba birimo kubogama, kuko akazi kakozwe nitsinda ryabo bwite kandi ibisubizo byatanzwe byari bishingiye ku kigereranyo cy’imipaka yihariye. Igeragezwa ry-igice cya gatatu rizakenerwa kugirango hemezwe umuvuduko nyawo, ikiguzi, nibyiza bya Jev mubihe bitandukanye byukuri.

Kwaguka kwa Jev uburyo bwo kwinjiza ni igice cyingenzi cyo kureba. Isohora ryubu ryibanda kuri leta ishingiye ku nyandiko, ariko isosiyete yerekana ko izafasha mu bundi bwoko bw’amakuru, nk'amashusho. Ubushobozi bwo gutunganya inyongeramusaruro nyinshi bizagura cyane icyitegererezo mubikorwa nko kureba mudasobwa hamwe nisesengura ryamakuru.

Ibitekerezo byabatezimbere kuva gahunda yo gutangira hakiri kare bizatanga ubushishozi bwingirakamaro muburyo bukoreshwa. Ibibazo bijyanye no kwishyira hamwe, API itajegajega, hamwe nukuri kwukuri kwa kalibibishoboka mubibazo byanyuma bizaba ibintu byingenzi muguhitamo icyitegererezo cyigihe kirekire no kwemerwa.

Ibijyanye nuyobora & ibibazo

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Iyi nkuru yemewe ivugururwa mugihe iyo iterambere ryiterambere rihindutse mubintu. URL yayo nitariki yo gusohora itariki ntizigera ihinduka.

  • Inkomoko itanga itangazo ryibanze ryatanzwe na TypeSafe AI risobanura imyubakire yubuhanga (RLCD, parallel sampling), ibipimo byihariye byerekana (70-500m yatinze, 40-200x yihuta), hamwe no kubona hakiri kare moderi ya Jev, ikaguka kuri raporo yambere yo gutangiza.
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