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Google yana fitar da tushen tushen EnvHarness don horar da wakilin AI mai dacewa

Google Cloud AI Bincike ya fito da EnvHarness, tsarin lasisi na Apache 2.0 wanda ke canza yanayin horarwa a tsaye don ƙaddamar da takamaiman raunin wakilin AI, haɓaka aiki a cikin ma'auni biyar.

4 min readRead the original reporting
Source-provided image accompanying Google releases open-source EnvHarness for adaptive AI agent training
Rahoton da aka dangantaAn rubuta tushen tushe
Mawallafi
venturebeat.com
Tushen hanyar haɗin gwiwa
venturebeat.comhttps://venturebeat.com/orchestration/googles-open-source-envharness-lets-ai-agents-train-against-environments-that-evolve-with-them
Nau'in tushe
Rahoto ta hanyar tashar labarai - ba daftarin aiki na ɓangare na farko ba.

Abin da ba mu iya tabbatarwa da kansa ba: An dangana wannan da'awar ga kanti mai suna. Ba mu tabbatar da shi a kan takardar jam'iyyar farko ba. (venturebeat.com)

MaganaFahimtar wannan a cikin daƙiƙa 60

Fara a nan

Mabuɗin sharuddan

AI Agent
Tsarin software wanda zai iya lura, tunani, da ɗaukar ayyuka don cimma manufa, sau da yawa ta amfani da kayan aiki da ƙwaƙwalwa.
Ƙarfafa Koyo
Horowa ta siginar lada inda wakili ke koyon ayyuka waɗanda ke haɓaka dawowa na dogon lokaci.
Gaskiyar Kasa
Amintattun alamomin tunani da aka yi amfani da su don horarwa ko kimanta abubuwan da aka fitar.
Gwada kankaAI Agents Tambayoyi

Me ya faru

Google Cloud AI Bincike da abokan ilimi sun fitar da EnvHarness, tushen tushen tushen tushen lasisin Apache 2.0. Kayan aiki yana saka wani Layer na shirye-shirye tsakanin wakili na AI da yanayin horo, yana ba da damar yanayi don daidaitawa da ƙarfi ga takamaiman gazawar wakili. Ta amfani da wani sashi da ake kira EnvRigger don tantance raunin da kuma canza yanayin aiki ba tare da canza mai tabbatarwa ba, tsarin yana bawa wakilai damar yin dabarun da aka yi niyya. A cikin gwaji a fadin ma'auni biyar, ciki har da SWE-bench Verified da WebArena, jami'an da aka horar da su tare da EnvHarness sun nuna nasarorin da aka samu har zuwa maki 9 kuma sun rage yawan matakan da ake bukata don kammala ayyuka idan aka kwatanta da wurare masu mahimmanci.

Masu bincike daga Google Cloud AI Bincike sun haɓaka EnvHarness don magance matsalar yanayin horarwa. Yanayin al'ada ya kasance mai kayyade koda yayin da wakilai ke inganta, yana mai da wahala a sami matsaloli masu wahala. EnvHarness yana gabatar da tsarin shirin wanda zai iya canza jihohin farawa, tace ayyuka, da kuma canza lokutan ɗawainiya ba tare da canza ainihin mahalli ko mai tabbatarwa ba.

Tsarin ya haɗa da EnvRigger, wanda ke sarrafa tsarin daidaitawa. Yana bin Dubawa, Bincike, Rubuta, da Tabbatar da madauki. EnvRigger yana nazarin abubuwan da ke tattare da wakili don gano tsarin gazawar mai maimaitawa, sannan ya tsara takamaiman abubuwan EnvHarness don fallasa ko gyara waɗancan gazawar. Yana inganta waɗannan canje-canje don tabbatar da ayyuka sun kasance masu warwarewa da amfani kafin amfani da su.

An gudanar da gwaji akan ma'auni biyar: ALFWorld, WebArena, SWE-bench Verified, OfficeQA, da SpreadsheetBench. Wakilan da aka horar da su ta amfani da EnvHarness sun zarce waɗanda aka horar da su a kan tsayayyen muhalli a duk biyar. Akan Tabbatar da benci na SWE, matsakaicin tsayin yanayin ya ragu daga 55.01 zuwa 49.61 matakai. Tsarin kuma ya fi sauran tsarin haɓaka yanayi kamar SWE-smith da GenEnv cikin daidaito da inganci.

Ana samun lambar, saitin gwaji, da aiwatar da aikin ƙarfafawa akan GitHub ƙarƙashin lasisin Apache 2.0. Tsarin yana buƙatar gada don haɗawa tare da mahallin da ke akwai, tare da tallafi na farko don SWE-bench na tushen Docker, OfficeQA, da SpreadsheetBench. An ƙirƙira shi don akwatunan sandbox na dijital inda fiɗa ke da arha kuma ana iya dawo da jihar, kamar coding da mahallin sarrafa kansa na yanar gizo.

Bayanan tushe: venturebeat.com ↗

Me ya sa yake da mahimmanci

Wannan sakin yana magance babban ƙulli a cikin haɓakar wakilin AI: babban farashi da raguwar dawowar gina wuraren horarwa. Yayin da wakilai ke inganta, ƙayyadaddun mahalli suna zama da sauƙi, suna tilasta masu haɓakawa don ƙirƙirar sabbin na'urori masu tsada. EnvHarness yana ba da madadin aiki ta hanyar haɓaka amfanin da ke akwai, amintattun mahalli. Ga ƙungiyoyin masana'antu, wannan yana nufin za su iya fitar da ƙarin ƙimar horo daga kayan aikin su na yanzu ba tare da sake gina na'urar kwaikwayo daga karce ba. Tsarin yana kiyaye amincin masu tabbatar da gaskiya a ƙasa yayin gabatar da ƙalubalen da ke tilasta wa wakilai shawo kan takamaiman gajerun hanyoyi, kamar tsallake gwaje-gwaje ko ɓacewar bayanai. Wannan tsarin yana rage ci gaba a kan gaba kuma yana ba da hanya mai daidaitawa don inganta amincin wakili a cikin hadaddun ayyuka na duniya.

Gina sabbin wuraren horo yana da tsada kuma yana ɗaukar lokaci. EnvHarness yana ba ƙungiyoyi damar sake yin amfani da abubuwan da suke da su, ingantattun mahalli ta hanyar sake fasalin su gabaɗaya kusa da raunin wakili na yanzu. Wannan yana rage buƙatar ci gaba da gina sabbin na'urorin kwaikwayo daga karce.

Tsarin yana kiyaye amincin amintattun masu tabbatarwa. Ta hanyar gyaggyara yanayin da wakili ke aiki maimakon aikin da kansa, EnvHarness yana tabbatar da cewa har yanzu ana ƙaddara nasara ta asali, tabbataccen gaskiya na ƙasa. Wannan yana da mahimmanci don kiyaye ingancin siginar horo.

Ga ƙungiyoyin AI na kasuwanci, wannan hanyar tana ba da hanya mai amfani don haɓaka aikin wakili ba tare da manyan canje-canjen ababen more rayuwa ba. Ana iya haɗa shi cikin bututun CI/CD na yanzu azaman plugin ɗin mai nauyi, yana ba da damar ci gaba da haɓaka wakilai a cikin yanayin sarrafawa, aminci.

Halin ƙarfin hali na EnvHarness yana taimakawa magance matsalar wakilai da ke ɗaukar gajerun hanyoyi. Ta hanyar ƙirƙirar ƙuntatawa ta atomatik waɗanda ke tilasta wakilai yin takamaiman ƙwarewa, kamar gudanar da gwaje-gwaje kafin ƙaddamar da lamba, tsarin yana ƙarfafa ƙarin ƙarfi da ingantaccen ɗabi'a.

Interactive Mechanism

Ingantacciyar hanyar sadarwa: Yadda A zahiri yake Aiki

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

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
Duba ra'ayi na hulɗa+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?

Abin kallo na gaba

Masu haɓakawa yakamata su saka idanu akan ma'ajiyar GitHub don sabbin aiwatar da gadar da ke tallafawa ƙarin nau'ikan yanayi. Kamfanoni masu amfani da bututun bututun CI/CD ya kamata su kimanta yadda EnvHarness ke haɗawa tare da saitin Docker ko Kubernetes. Bugu da ƙari, ƙila al'umma za su bincika haɗa EnvHarness tare da tsare-tsaren ingantawa na gefen wakili don ƙirƙirar madaukai na amsa inda ƙalubalen muhalli da iyawar wakili suka samo asali tare. Tasirin dogon lokaci zai dogara ne akan ko farashin lissafin madauki na bincike na EnvRigger ya kasance mai iya sarrafawa yayin da rikitaccen wakili ke ƙaruwa.

Samuwar sabbin gada don nau'ikan yanayi daban-daban zai ƙayyade fa'idar fa'idar tsarin. A halin yanzu, tallafi yana iyakance ga takamaiman ma'auni, amma faɗaɗa zuwa wasu yankuna zai zama mabuɗin ɗaukarsa.

Farashin lissafin madauki na EnvRigger ciniki ne. Kamar yadda samfura ke haɓaka, ana sa ran farashin ƙira da tabbatar da gyare-gyare zai faɗi, amma ƙungiyoyi za su buƙaci sa ido kan wannan don tabbatar da cewa ya kasance mai yiwuwa don aikewa da yawa.

Haɗin kai tare da tsarin haɓakawa na gefen wakili na iya haifar da madaukai masu ƙarfi. Duk da yake ba a gwada tare a cikin wannan takarda ba, haɗa EnvHarness tare da tsarin da ke canza kayan aikin cikin wakili na iya haifar da ƙarin ci gaba a cikin iyawar wakili.

Dacewar tsarin don nau'ikan mahalli daban-daban za a mai da hankali. Ya fi dacewa da akwatunan sandbox na dijital tare da arha rollouts da jahohi masu dawowa. Aikace-aikacen sa ga mahalli tare da illolin da ba za a iya jurewa ba ko sake saiti masu tsada zai buƙaci kulawa da hankali da ƙarin matakan tsaro.

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