Xiga xigaHagaha xiga
Barashada Joogtada ah iyo Hilmaanka Masiibada ah
Aasaaska
Luqadda AI HAGAHA
Illowsi musiibo ah
Catastrophic forgetting occurs when training on new tasks degrades performance on previously learned tasks.
Dhageyso hagahanAI-waa laga sheekeeyay · ~2 min
Boggaan2 daqiiqo akhri
Dulmar
Continual-learning methods attempt to balance adaptation and retention.
quusid qoto dheer
Catastrophic forgetting occurs when learning new tasks degrades earlier capabilities. EWC penalizes changes to parameters important to earlier tasks; GEM constrains gradients using episodic examples under a local first-order approximation; iCaRL stores exemplars and uses class-mean features. LoRA freezes base weights and learns low-rank task updates, which may reduce direct interference but does not guarantee retention. The original RAG paper distinguishes sequence-level and token-level document marginalization. These mechanisms address different issues and require evaluation on old and new tasks.
Dhaqangelinta Adduunka-dhabta ah
Elastic Weight Consolidation penalizes changes to parameters estimated to be important for earlier tasks.
Experience replay mixes stored earlier examples with new-task examples during training.
LoRA keeps task-specific low-rank updates separate from frozen base weights in some adaptation settings.
Retrieval-augmented generation can consult an external index rather than storing every fact only in model parameters.
Mustaqbalka Illowda Masiibada ah
Evaluate old and new task performance after each update and make the retention criterion explicit. Choose methods based on data availability, storage and privacy constraints. Research benchmarks do not establish that any single technique prevents forgetting in all deployment settings.
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Iska ilaali
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- Xogta qoraalka xasaasiga ah ayaa laga yaabaa in la kashifo haddii kontaroolada gelitaanka ay daciif yihiin.
Tallaabooyinka xiga
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Sii wad Sahaminta
Warqad bilaash ah
Hel warbixinta maalinlaha ah ee AI
Saddex sheeko oo la xaqiijiyay oo AI ah maalin kasta oo shaqo ah, oo lagu qoray Ingiriis fudud. Bilaash had iyo jeer, aan xayaysiis lahayn.
Hal iimayl maalin kasta oo shaqo ah. Ka bax hal gujin. Marna ma iibinno ama ma wadaagno ciwaankaaga.
Is tijaabi
Take the Catastrophic Forgetting quiz
Fikrad degdeg ah oo ku saabsan jawaab kasta, iyo shahaado la wadaajin karo oo leh aqoonsi la xaqiijin karo markaad ka gudubto koorso.
Taageer waxbarashada AI bilaashka ah. AI Understanding waa 501(c)(3) aan faa'iido doon ahayn — xayaysiis la'aan, albaab lacag ah ma jiro, had iyo jeer. Samee deeq
Su'aalaha soo noqnoqda
Waa maxay Hilmaamo Masiibo ah?
Catastrophic forgetting occurs when training on new tasks degrades performance on previously learned tasks. Continual-learning methods attempt to balance adaptation and retention.
Xaaladdee ayaa qeexaysa hilmaanka masiibada ah ee shabakada neerfaha?
Illowda masiibada ah waa luminta awoodihii hore markii shabakad loo tababaray hawl cusub, sababtoo ah miisaanka la wadaago ayaa la qoraa.
Waa maxay sababta illowsi musiibo ah ay uga dhacdo shabakadaha neerfaha?
Aqoontu waxay ku nooshahay cabbirro la wadaago, markaa tababarka xogta cusub waxay beddeshaa miisaan la mid ah waxayna tirtirtaa waxbarashadii hore.
Muxuu Sameeyaa Isku-Darka Miisaanka Elastic (EWC) si loo yareeyo illowga?
EWC waxay ku darsataa ciqaab joogta ah oo ka gaabinaysa cusboonaysiinta cabirrada loo arko inay muhiim u yihiin hawlihii hore, oo lagu qiyaasay macluumaadka Fisher.
Sidee waayo-aragnimadu ku celisaa (ku celcelinta) dagaalka illowga?
Ku celcelinta isku darka tusaalooyin hore (la kaydiyay ama la soo saaray) iyadoo la baranayo hawlo cusub oo hawlihii hore la xoojiyay.
What does LoRA do to base-model weights when adding a task-specific adapter?
LoRA freezes base weights and trains low-rank updates for a task. This can reduce direct parameter interference but does not guarantee retention across every continual-learning sequence.
Sii wad waxbarashada
Tilmaamaha la xidhiidha
Tilmaamayaal badan ayaa loo doortay mawduucan