Buyela Ezindabeni
UkuqambaAI Understanding ukwaziswa

I-NVIDIA inika imininingwane ngeresiphi eqhutshwa yinkumbulo ye-NemoClaw

I-NVIDIA ichaza iresiphi ye-NemoClaw yomthombo ovulekile enikeza i-ejenti yebhizinisi inkumbulo yesikhathi eside ehlelekile, amalogi okulungisa kanye nokwenziwa kwe-sandboxed.

4 min readRead the primary source
Source-provided image accompanying NVIDIA details a memory-driven agent recipe for NemoClaw
Idokhumenti yomthombo oyinhlokoUmthombo urekhodiwe
Umshicileli
developer.nvidia.com
Isixhumanisi somthombo
developer.nvidia.comhttps://developer.nvidia.com/blog/building-a-memory-driven-agent-with-nvidia-nemoclaw/
Uhlobo lomthombo
Idokhumenti eyisisekelo — isimemezelo esisemthethweni, iphepha, ukugcwalisa, noma ikhasi lomuntu wokuqala esilifunda ngokuqondile.
UmongoQonda lokhu ngemizuzwana engama-60

Qala lapha

Imigomo ebalulekile

Inkumbulo (Inkumbulo yomenzeli)
Ingqikithi egciniwe umenzeli we-AI usebenzisa ezinyathelweni zonke noma izikhathi ukuze athuthukise ukuqhubeka.
I-RAG (Isizukulwane Sokubuyisa-Esithuthukisiwe)
Indlela ebuyisa ulwazi lwangaphandle futhi iluphakele ekukhiqizeni ngesikhathi sokunquma.
I-MCP (Model Context Protocol)
Iphrothokholi evulekile evumela izinhlelo zokusebenza ze-AI ukuthi zixhume kumathuluzi angaphandle, imithombo yedatha, nabahlinzeki bomongo ngendlela evamile.
ZihloleImibuzo ye-AI Agents

Kwenzekeni

I-NVIDIA ishicilele umklamo wobuchwepheshe we-ejenti ye-Chief of Staff eqhutshwa yinkumbulo eyakhiwe nge-NemoClaw, kusetshenziswa inkumbulo ehlelekile ye-Markdown, ileja yesibopho ye-SQLite kanye nezilawuli zesikhathi sokusebenza ze-OpenShell. Inkampani ibika imiphumela ethuthukisiwe yebhentshimakhi uma iqhathaniswa nesisekelo se-RAG, ngenkathi iphawula ukuthi isibonelo sisebenzisa idatha esunguliwe kanye nokuhamba ungaxhunyiwe ku-inthanethi.

I-NVIDIA ithi isibonelo sayo se-NemoClaw sakha i-ejenti ye-Chief of Staff eqhutshwa yinkumbulo egcina “imodeli yokuzenzela” efundeka umuntu yabantu, amaphrojekthi, izinto eziza kuqala, imigomo kanye namaphethini omsebenzi avelayo. Inkumbulo igcinwa emakhasini ahleliwe e-Markdown anezikhombo, izinkomba eziphambanayo, ukuvela kanye nemikhawulo yokukhula. Ileja ehlukile ye-SQLite irekhoda izibopho, izinga, izilungiso kanye nemicimbi yocwaningomabhuku, igcina umehluko phakathi kobufakazi, ulwazi nokwahlulela.

Iresiphi ihlanganisa ingqondo elinganiselwe yezinga, isango lenhloso elibeka phambili izibopho ezixhunywe kokubalulekile komsebenzisi oshiwo, ukuhlolwa kokulungiswa kwe-append kuphela, ukugcinwa kwememori okuhleliwe, imilayezo yokwenziwa namakhasi enkumbulo, ukuhlolwa kweyunithi kanye nokuhamba ungaxhunyiwe ku-inthanethi. I-NVIDIA ithi iresiphi iwumthombo ovulekile futhi ipakishwe njengephrofayili ye-Hermes esebenzisekayo ye-NemoClaw. Isibonelo samanje asithumeli imilayezo noma siguqule amasistimu omthombo, futhi abantu bayo abayisampula, izinhlangano, amaphrojekthi nemilayezo kuyasungulwa.

I-NVIDIA ibika ukuthi, kusetshenziswa i-Nemotron 3 Ultra, ukucushwa kwemodeli yakho kufinyelele ku-90.9% ukunemba sekukonke emibuzweni engu-186, uma kuqhathaniswa no-82.8% wesisekelo sokubuyiswa kwe-agent-augmented-generation. Iphinde ibike amaphuzu aphezulu emibuzweni enzima, ukulandelela iqiniso elishintshile, ukucabanga kwephuzu ngesikhathi, ukuhlukaniswa kwebhizinisi, ukuhlanganiswa kwemithombo eminingi kanye nokufakwa kwengcaphuno. Lena imiphumela evela ku-Agent Memory Benchmark yesibonelo serepository, hhayi ukuhlola okuzimele.

Ngesikhathi sokusebenza, i-NVIDIA ithi i-NemoClaw ihlanganisa ne-OpenShell, efaka amabhokisi e-ejenti futhi ilawule uhlelo lwefayela, inqubo kanye nokufinyelela kwenethiwekhi. Ukuqinisekisa okucatshangwayo okuphethwe kanye noxhumo lwe-MCP kuhlala ngaphandle kwebhokisi lesihlabathi. Umthombo ugcizelela ukuthi okuqukethwe okubuyisiwe nenkumbulo okokufaka kumodeli, hhayi inqubomgomo yokuphepha ethenjwayo. Intengo, ukutholakala okujwayelekile nezixhumi ezibukhoma ezisekelwayo akucacisiwe.

Imininingwane yomthombo: developer.nvidia.com ↗

Kungani kubalulekile

Umklamo unikeza onjiniyela indlela ebambekayo yokuhlukanisa ubufakazi bomthombo, inkumbulo etholiwe, ukwahlulela komenzeli kanye nezenzo ezigunyaziwe—umehluko obalulekile wezinhlelo okulindeleke ukuthi zisebenze kuwo wonke umongo wendawo yokusebenza. Izinzuzo zebhentshimakhi ezibikiwe ze-NVIDIA zingase zibe usizo, kodwa zivela esilinganisweni sokuhlola senkampani futhi azikakasungulwa ngokuzimele kulo mthombo.

Ama-ejenti asebenza isikhathi eside kudingeka ahlukanise ukuthi umlayezo womthombo uthini kulokho uhlelo olukholelwayo, lokho olukunqumile kanye nalokho oluvunyelwe ukukwenza. Izakhiwo ze-NVIDIA zenza leyo mingcele ibe sobala, okungenza amaphutha abe lula ukuwahlonza kuwo wonke ubufakazi bokungenisa, ukugcinwa kwenkumbulo, ukubuyisa kanye nokwenza izinqumo zokugcina.

Ukugeleza komsebenzi wokulungisa kuyaphawuleka ngoba abasebenzisi bangahambisa noma bangazinaki izibopho, balondoloze lezo zinqumo kukho konke okwenzeka kamuva futhi bahlole noma bahlele umphumela wenqubomgomo yokuthandwayo. Lokho kunikeza abasebenzisi indlela yempendulo ebonakalayo esikhundleni sokuthembela kuphela kusimo semodeli efihliwe. Kungase kube usizo kubasizi okufanele bazivumelanise nokushintsha izinto ezibalulekile ngaphandle kokuphatha zonke izicelo eziphuthumayo njengezibaluleke ngokulinganayo.

Izinzuzo ezibikiwe ziqine kakhulu emaqinisweni ashintshile kanye nokucabanga okukhomba ngesikhathi, izinhlobo zezinkinga umlando ojwayelekile wengxoxo nokubuyiswa ongakwazi ukuzisingatha kahle. Kodwa-ke, ukuhlaziya kukhawulelwe kubhentshimakhi yomthombo uqobo nasekusetshenzisweni kwesibonelo. Imethrikhi eyodwa—ukwethembeka kukhorasi—yayingaphansi kwemodeli yomuntu siqu kunesisekelo, esigcizelela ukuthi ukunemba okuthuthukisiwe akuqedi ukuhwebelana.

Imodeli yokuphepha nayo inomphumela osebenzayo: inkumbulo ingazisa isenzo ngaphandle kokusigunyaza. Ukugcina imininingwane ngaphandle kwebhokisi le-sandbox nokuphoqelela izimvume ngesikhathi sokusebenza kungakhawulela umthelela wemiyalo eyiphutha noma enonya, kodwa umthombo awuhlinzeki ngokuhlolwa kokuvikela okuzimele noma ubufakazi obuvela ekusetshenzisweni kwebhizinisi okubukhoma.

Interactive Mechanism

I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela

Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.

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.
I-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?

Ongakubuka ngokulandelayo

Ukuthi ingabe iresiphi isebenza ngendlela efanayo ngedatha yendawo yokusebenza yangempela, izixhumi ezibukhoma namamodeli ahlukene, kanye nendlela izinhlangano ezisingatha ngayo izifakazelo, ubumfihlo, ukugcinwa, ukususwa kanye nokugunyazwa komuntu lapho zidlulela ngale kwesibonelo sokungaxhunyiwe ku-inthanethi.

Ukuhlola okulandelayo okunengqondo ukuthunyelwa ngama-akhawunti wangempela wendawo yokusebenza nezixhumi ezibukhoma. I-NVIDIA ithi lokho kuhlanganiswa kudinga ukuphathwa okuhlukile kwemininingwane, ubumfihlo, ukugcinwa kanye nokususwa, kodwa umthombo awuchazi izinqubomgomo ezithile, ukugeleza kokugunyaza noma ukutholakala kwesixhumi.

Ukuhlola okuzimele kufanele kuhlole ukuthi ingabe ukuthuthukiswa okubikiwe kuyaqhubeka kuwo wonke amamodeli, izizinda, osayizi benkumbulo nolwazi olushintshayo, kuyilapho kukalwa ukubeka kuqala okungamanga, izinkumbulo zakudala noma ezingalungile, ukwehluleka kwengcaphuno kanye nezindleko zokunakekelwa okuhleliwe.

Onjiniyela kufanele futhi babheke ukuthi izinqubomgomo ze-OpenShell zisebenza kanjani ngaphansi kwezimo ezingokoqobo zokujova kanye nokusetshenziswa kwamathuluzi. I-NVIDIA ichaza i-sandbox nezici zokuphatha, kodwa lo mthombo awuqinisekisi ukusebenza kahle kwazo ngokuhlolwa kwangaphandle noma ukuhlola okuphikisanayo.

Amanani, imininingwane yokulayisensa yesitaki esiphelele, usekelo lokukhiqiza nokutholakala okuvamile akubhaliwe kokuthunyelwe. Lokho okungaziwa kuzothinta ukuthi ingabe iresiphi ngokuyinhloko iyinkomba yezemfundo noma indlela engokoqobo yokusatshalaliswa kwebhizinisi.

Imihlahlandlela ehlobene nemibuzo

Ama-AI AgentsAmamodeli e-AI AchaziweUkuqeqeshwa kwe-AIHlola okwaziyo — zama imibuzo ye-AI yamahhalaBheka igama le-AI kuhlu lwethu lwamagamaLandela i-tracker yokukhishwa kwemodeli ye-AI
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