Ịkwachaa na Ntube oyi akwa Haziri
Ịkwachaa nke a haziri ahazi na-ewepụ akụkụ niile nke netwọkụ akwara ozi, dị ka isi nlebara anya, neurons, ma ọ bụ akwa niile, yabụ ụdị slimmer na-agba ọsọ ọsọ na ngwaike nkịtị.
Nchịkọta
Layer dropping is the most aggressive version, deleting full transformer blocks to shrink depth.
Ime miri emi
Ịkwachaa enweghị nhazi na-ewepụ ihe dị arọ nke onye ọ bụla, mana matriks jupụtara na zeros gbasasịrị ka na-agba ọsọ na GPU n'ihi na ngwaike anaghị awụpụ ha. Ịkwachaa nke ahaziri ahazi kama na-ewepụ ihe mgbochi na-ejikọta ọnụ, isi nlebara anya dum, neurons na-aga n'ihu, ọwa, ma ọ bụ n'ígwé dum, nke na-ebelata ihe ndị ahụ n'ezie ma na-ewepụta ezigbo ọsọ na-enweghị mkpụrụ ndụ pụrụ iche. Ntube oyi akwa na-akpali nke a: nyocha dị ka LayerDrop na mgbe e mesịrị ọrụ ịkwachaa omimi na-egosi na ọtụtụ ihe ngbanwe, karịsịa n'etiti etiti na n'elu, bụ ihe ijuanya na-abaghị uru. Ị nwere ike ihichapụ 20 ruo 40 pasent nke ọkwa ma nwetaghachi ọtụtụ n'ime ihe ziri ezi furu efu site na iji obere nlegharị anya nke ọma ma ọ bụ ntugharị ihe ọmụma. A na-ekpebi mkpa site na metrik dị ka anya nkuku dị n'etiti ntinye na mmepụta oyi akwa ( ole ọ na-agbanwe nnochite anya).
Nghọta nka nka
A nkịtị omimi-ịkwachaa uzommeputa scores nke ọ bụla ngọngọ site otú yiri ya ntinye na mmepụta zoro ezo na-ekwu bụ: ma ọ bụrụ na a oyi akwa sonso ịgbanwe residual iyi (high cosine myirịta), ọ na-enye obere ihe na nwere ike ama esịn. Enwere ike ịhọpụta isi site na uche, mmụba nke ọnwụ mgbe mkpuchi. Mgbe ewepụchara nkeji akara kacha ala, obere nkwụsịtụ nkenke na-eme ka ihe dị ndụ dị ndụ nwetaghachi ọrụ ihe ndị a kpara akpa wee weghachi ogo.
Mmetụta atụmatụ
Ọnụ ego na mmefu ego
Mkpebi ihe owuwu ụlọ na-akwalite arụmọrụ yana ọnụ ahịa ọrụ ruo ọtụtụ afọ.
Mkpebi doro anya
Nkà mmụta nka na-enyere ndị otu egwuregwu aka ịhọrọ nchịkọta ziri ezi, ọ bụghị naanị nke kachasị ọhụrụ.
Quality akara
Nhọrọ injinia ka mma na-ebelata ihe omume ntụkwasị obi na mmepụta.
Ọdịnihu nke ịkpụcha osisi na idobe oyi akwa
Ịkwachaa nke a haziri ahazi na nke dị omimi na-aghọ ọkọlọtọ maka imepụta ụdị dị iche iche nke ọma site na otu nnukwu netwọk a zụrụ azụ, dị ka a hụrụ na obosara-na-omimi kwachaa gbakwunyere distillation pipeline nke na-enweta obere ụdị site na nnukwu. Na-atụ anya mwekota siri ike na quantization na routing, ngwaike maara nke ọma kwachaa nke na-elekwasị anya ngwa ngwa ngwa ngwa, na nchọta akpaghị aka nke na-ekpebi ntinye nke ọ bụla omimi ma ọ bụ obosara ka a ga-egbutu maka mmefu ego latency nyere.
Mmejuputa n'ezie n'ụwa
Ịmepụta obere ihe nlereanya nwa akwụkwọ ngwa ngwa site n'aka nnukwu onye nkuzi site n'ịkwasa akwa akwa wee mezie nhazi iji nwetaghachi izi ezi
Iwepụ isi nlebara anya na-adịghị arụ ọrụ n'ụdị ntụgharị asụsụ iji belata akwụsịlata na ngwaọrụ ihu
Na-atụba ihe mgbochi mgbanaka elu nke LLM ka ọ daa ebumnuche latency ekwentị siri ike
Ịmepụta ezinụlọ nke nha ihe nlereanya site n'otu ebe a na-enyocha ụzọ a zụrụ azụ site na ịkwachaa ruo omimi na obosara dị iche iche
Ihe ize ndụ & okporo ụzọ nche
Ịkwalite otu akara ngosi nwere ike zoo adịghị ike sistemụ sara mbara.
A na-eledakarị ihe akụrụngwa na ụgwọ ọrụ anya.
Ọdịiche nchekwa na nleba anya nwere ike itolite ka sistemu na-adịwanye mgbagwoju anya.
Map mmejuputa
Kọwaa latency, ịdịmma na ebumnuche ọnụ ahịa tupu mmejuputa ya.
Benchmark n'okpuru ibu dị adị na ọnọdụ data.
Nleba anya akụrụngwa maka mperi, ịkpafu na mmetụta onye ọrụ.
Kwadebe ụzọ nzaghachi azụghachi azụ na ihe omume tupu ịchachaa.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Ụdị ịkwachaa
Ajụjụ a na-ajụkarị
What is Structured Pruning and Layer Dropping?
Ịkwachaa nke a haziri ahazi na-ewepụ akụkụ niile nke netwọkụ akwara ozi, dị ka isi nlebara anya, neurons, ma ọ bụ akwa niile, yabụ ụdị slimmer na-agba ọsọ ọsọ na ngwaike nkịtị. Idobe oyi akwa bụ ụdị kacha eme ihe ike, na-ehichapụ ihe mgbochi ngbanwe zuru oke iji dalata omimi.
Gịnị mere ịkwa osisi a haziri ahazi ji ewepụta ezigbo ọsọ, ebe ịkwa osisi na-edoghị anya anaghị adịkarị?
Iwepu isi dum, neurons, ma ọ bụ n'ígwé na-ebelata oke tensor, yabụ ngwaike ọkọlọtọ na-arụ obere ọrụ, ebe efu ndị gbasasịrị ka na-agbakọ.
Kedu ihe bụ 'layer dropping' na ọnọdụ nke transformers?
Idobe oyi akwa na-ewepụ ihe mgbochi ngbanwe niile, na-ebelata omimi netwọkụ, nke bụ ụdị ịkwa osisi a haziri ahazi kachasị ike.
Kedu mgbama na-egosikarị na enwere ike ịwụda oyi akwa transformer n'enweghị nsogbu?
Ọ bụrụ na oyi akwa na-agbanweghi iyi ihe fọdụrụ (myirịta ntinye dị elu), ọ na-enye obere ihe ma bụrụ onye na-akwado iwepụ.
Kedu nzọụkwụ na-enwetakarị izi ezi mgbe a haziri kwachaa?
Ndozi mma ma ọ bụ ntugharị dị nkenke na-eme ka ihe dị arọ nke fọdụrụ weghachi ọrụ nke nkeji a kpụrụ akpụ wee weghachi ọtụtụ àgwà furu efu.
Kedu ka esi ahọrọ ndị isi nlebara anya n'otu n'otu maka ịkwachaa?
A na-atụle mkpa isi dị site n'ọtụtụ mfu na-ebili ma ọ bụrụ na a kpuchiri ya; A na-ebu ụzọ kpụchaa isi ndị nwere mmetụta dị ala.