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Pepa rinoyambira kuti LLM vamiririri vanogona kudzoreredza ruzivo rwakadzimwa kuburikidza nematurusi

Bepa idzva rearXiv rinoratidza gaka mukusadzidza kweLLM: mumiririri anogona kumira kuyeuka ruzivo kubva kune huremu hwayo asi odzoreredza kuburikidza nekutsvaga pawebhu, kudzoreredza kana dhatabhesi maturusi. Vanyori vanokurudzira nzira-matanho maviri ekudzikisa mafomu ese ekudzoreredza asi achichengetedza zviri pamutemo kushandisa chishandiso.

5 min readRead the primary source
Primary-source image accompanying Paper warns that LLM agents can recover deleted knowledge through tools
Primary-source documentKwakanyorwa
Muparidzi
arxiv.org
Source link
arxiv.orghttps://arxiv.org/abs/2608.21544
Source type
Gwaro rekutanga - chiziviso chepamutemo, bepa, faira, kana peji rebato rekutanga ratinoverenga zvakananga.
ContextNzwisisa izvi mumasekonzi makumi matanhatu

Tanga pano

Matemu akakosha

Mutauro Mukuru (LLM)
Mutauro wemodhi yakadzidziswa pane yakakura text corpora kugadzira nekuongorora zvinyorwa.
Kusimbisa Kudzidza
Kudzidziswa nemasaini masaini apo mumiririri anodzidza zviito zvinowedzera kudzoka kwenguva refu.
Memory (Agent Memory)
Yakachengetwa mamiriro mumiriri weAI anoshandisa pamatanho kana masesheni kuvandudza kuenderera.
Zviedze iwe pachakoAI Agents Quiz

Chii chaitika

Bepa rearXiv rinounza Agentic Tool Unlearning, chimiro chakagadzirirwa mitauro-yemhando yevamiririri vanogona kudaidza ekunze maturusi. Vanyori vanopokana kuti kusadzidza kwakajairwa kunogona kudzvinyirira kurangarira kwakananga kwemuenzaniso kweruzivo pasina kudzivirira mumiririri kuti atore ruzivo rwakafanana kuburikidza nekutsvaga pawebhu, kudzoreredza kana kutariswa kwedatabase.

Iro bepa rinotsanangura kukundikana modhi yainodaidza chishandiso-mediated kudzoreredza. Mumuenzaniso wemutauro wakajairika, kusadzidza kunowanzoongororwa nekuongorora kana modhi yacho ichikwanisa kuyeuka zvakananga chinangwa chakapihwa kubva kumiganhu yayo. Vanyori vanopokana kuti ongororo iyi haina kukwana kune mumiririri ane mhinduro inogona kutsamira pakufona kwemidziyo uye nekutarisa kwekunze. Mumiririri akadaro anogona kutadza kutaura chinangwa kubva mundangariro asi kutora ruzivo rumwe chete kuburikidza nekunze kwekunze. Musiyano wakakosha nekuti mhinduro inoonekwa inogona kuramba iripo kunyangwe mhinduro yemukati yemodhi yachinja. Muchigadziro ichocho, kuongorora modhi pasina kuongorora maitiro ayo kunogona kupotsa nzira iyo chinangwa chinodzoserwa.

Nzira yakarongwa, Agentic Tool Unlearning, ine matanho maviri. Chekutanga, iyo sisitimu inoshandisa parametric ruzivo unleaning inoitirwa kudzvinyirira kurangarira kwakananga. Chechipiri, inoshandisa trajectory-level yekusimbisa kudzidza mune yakateedzera chishandiso-yakawedzerwa nharaunda. Sekureva kwechinyorwa chebepa, nhanho iyi inoranga zvese zviri zviviri-kutsvaga-kutsvaga chishandiso maitiro uye kuvuza mumhinduro yekupedzisira. Chinangwa ndechekuderedza kupora kuburikidza nezviito zvemumiririri, kwete chete kuburikidza nekuchinja kune uremu hwemuenzaniso. Izvi zvinoita kuti kutevedzana kwesarudzo kuve chikamu chedambudziko rekusadzidza, kusanganisira sarudzo yekutsvaga ruzivo uye nzira yekudzoreredzwa kwezvinhu inobatanidzwa mumhinduro.

Vanyori vanoshuma zviedzo paRWKU uye MUSE kusadzidza mabhenji mumitauro yakasiyana-siyana-modhi yezvivakwa. Vanoti nzira iyi inowana chiyero chiri nani pakati pekukanganwa chinangwa chakatarwa uye kuchengetedza zvakajairika ruzivo rweruzivo runofanira kuramba rwuripo. Nzvimbo yakapihwa haipe mhedzisiro yenhamba, mazita emhando, mari yekudzidzira, mienzaniso yekutanga kana ruzivo rwematurusi akafananidzwa, saka simba uye chiyero chekuvandudzwa kwakashumwa hazvigone kuongororwa kubva pane abstract chete. Izvo zvakasiiwa zvinosiya mhedzisiro inonzwisiswa zvakanyanya sechikumbiro chekutsvagisa nezvakashumwa zviedzo, kwete sehumbowo hwekuti nzira yakasimbiswa kune ese akaiswa masisitimu.

Kwakabva mashoko: arxiv.org ↗

Nei zvichikosha

Bepa rinoratidza dambudziko rinoshanda rekuchengetedza uye zvakavanzika kune masisitimu anosanganisa mamodheru emitauro nematurusi ekunze. Kubvisa ruzivo kubva mumuenzaniso paramita kunogona kusakwana kana mumiririri achiri kugona kuwana kana kuvakazve chinangwa kuburikidza nemidziyo yakatenderedza.

Iko kutsvaga kunokosha nekuti kuwana chishandiso kunoshandura zvazvinoreva kuti AI system yakanganwa chimwe chinhu. Modhi inogona kunge isisiri encode kana kuburitsa chidimbu cheruzivo zvakananga, asi mumiriri akazara anogona achiri kugadzira nekutsvaga, kudzoreredza kana kubvunza dhatabhesi rakabatana. Kune masisitimu anobata ruzivo rwemunhu, rwevaridzi kana neimwe nzira yakaganhurirwa, iyo yakakodzera unit yekuongorora inogona saka kuve iyo yakazara mumiririri mafambiro ebasa kwete modhi iri yega. Maonero akafara aya anotevera ruzivo kuburikidza negwara rose rinogona kuburitsa mhinduro, pane kubata iyo modhi paramita seyo chete inogoneka sosi.

Musiyano uyu unewo zvazvinoreva kuti masangano anoturikira sei kudzima kana kubvisa zvichemo. Kana chikumbiro chikaitirwa kudzivirira mumiririri kugadzira chimwe chinangwa, kushandura modhi paramita chete kunogona kusiya imwe nzira yakavhurika. Iro bepa hariratidze kuti chero system yakatumirwa parizvino inotadza neiyi nzira, asi inopa kongiri yekuongorora chimiro chekuyedza kana maturusi emumiririri anokanganisa maitiro ekusadzidza. Iyo furemu inogona kubatsira kuparadzanisa shanduko mune izvo iyo modhi inoyeukwa kubva pane shanduko mune iyo yakaunganidzwa system inogona kuramba ichiwana. Iyo zvakare inochengeta chiyero chekubvisa chinongedzo chakasungirirwa kune maitiro evashandisi vanogona kunyatso kuona.

Pane zvakaoma zveinjiniya kutengeserana-mune chinangwa chakarongwa. Kushandisa chombo kunowanzodikanwa kuti mumiririri apindure mibvunzo nezveruzivo rwaanofanirwa kuchengeta. Kuranga zvakawandisa kutsvaga-maturusi kunogona kukanganisa maitiro anobatsira, nepo kuranga kushoma kwazvo kunogona kusiya chinangwa chakanganwa chichidzoserwa. Chinangwa chebepa iri chekuchengetedza ruzivo rwakachengetwa chinoita kuti kutengeserana uku kuve pachena, asi kwazvinoita haaratidze kuti nzira yacho inobata sei zvikumbiro zvisina kujeka, mibvunzo isina kunanga kana maturusi ane ruzivo rwakapfuura. Nzira inobatsira saka inofanirwa kumanikidza nzira isingadikanwi uchienderera mberi nekutsigira chishandiso chinoramba chiri pamutemo, chiyero chisingagone kutorwa kubva kune abstract chete.

Interactive Mechanism

Interactive Mechanism: Iyo Inonyatsoshanda

Ongorora ari pasi tekinoroji kuseri kwekusimudzira uku uchipindirana.

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.
Interactive Concept Check+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?

Zvekutarisa zvinotevera

Mubvunzo wepakati ndewekuti iyo nzira yakashumwa inowanzoitika kupfuura yebepa rakateedzerwa nharaunda uye mabhenji. Zvakawanda zvinodikanwa paruzivo rwakanangwa, zvigadziriso zvematurusi, mavakirwo emhando, kuyerwa kwekutengeserana uye kana nzira yacho inoshanda zvakavimbika pasina kukanganisa kushandiswa kwezvishandiso zviri pamutemo.

Pepa rakazara rinofanirwa kujekesa izvo zvakakosha sekubudirira kukanganwa. Ruzivo rwakakosha runosanganisira kana ongororo inongotarisa kubereka kwechinangwa chete kana zvirevo, mhinduro dzisina kunanga uye kuvakazve nhanho dzakawanda. Inofanirawo kuratidza kuti nzira yacho inosiyanisa sei kutsvaga chinangwa kunorambidzwa kubva pakutora zviri pamutemo kweruzivo rwakachengetwa, sezvo musiyano iwoyo ucharatidza kuti nzira yacho inoshanda here. Dhizaini yekuongorora ichave yakakosha semhedzisiro yemusoro: bvunzo yakamanikana inogona kuratidza kuti imwe mhinduro yakavharwa pasina kuratidza kuti ruzivo rwepasi harugone kusvikwa neimwe nzira. Tsanangudzo dzakajeka dzinoita kuti chiyero chakashumwa pakati pekukanganwa nekushandisa zvive nyore kududzira.

Kudzokorora kuchave kwakakosha nekuti ongororo dzakashumwa dzinoshandisa RWKU neMUSE uye inoteedzerwa-yakawedzera nharaunda. Vaverengi vanofanirwa kutsvaga bvunzo dzine mhando dzematurusi akasiyana, masisitimu ekudzoreredza, dhatabhesi uye mhuri dzemhando, pamwe neongororo dzakaitwa kunze kwegadziriro yekudzidziswa kwevanyori. Iyo abstract haitauri kana kodhi, nharaunda kana mamodheru akadzidziswa aripo, saka kuberekana hazvizivikanwe parizvino. Kuedza kwakazvimirira kwaizobatsirawo kuona kuti nzira yacho inoenderana neimwe nzira iyo maturusi akafananidzirwa anofumura ruzivo kana kuti zvipingaidzo zvawo zvinoramba zvichishanda kana iyo yakatenderedza system yakagadziriswa zvakasiyana. Pasina kuenzanisa ikoko, kuwanda kweiyo nzira inoramba iri mubvunzo wakavhurika.

Ongororo dzenguva yemberi dzinofanira kuyera zvese chengetedzo uye utility pamusoro penguva refu agent trajectories. Iyo sisitimu inovharira kubuda kwakananga mumabvunzo mapfupi inogona kuita zvakasiyana kana ichigona kuronga, kuedzazve, kufonera maturusi akati wandei kana kusanganisa zvakaonekwa. Iyo sosi zvakare inosiya yakavhurika kana Agentic Tool Unlearning inogona kugadzirisa ruzivo rwakakopwa mumaturusi indexes kana dhatabhesi ivo pachavo, uye kana ichigona kuiswa kune vakatumirwa vamiririri pasina kudzidzisa zvakare masisitimu avo akatenderedza. Iyi mibvunzo inobatanidza maitiro emhando yemuenzaniso kune yakafara nharaunda umo kupora kunogona kuitika. Vanoratidzawo kuti sei kuratidzira kwakabudirira kuchizoda kuongorora zvese izvo mumiririri anoramba kuburitsa uye kuti ndeupi ruzivo runobatsira rwainoramba ichitora.

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