Mmanye onye nkuzi n'ụdị usoro
Mmanye onye nkuzi bụ aghụghọ ọzụzụ maka ụdị usoro ebe ezi akara ngosi gara aga, ọ bụghị echiche nke ihe nlereanya ahụ, ka etinyere dị ka ntinye na-esote.
Nchịkọta
It makes training fast and stable.
Ime miri emi
Ụdị usoro dị ka RNNs, LSTMs na Transformer decoders na-emepụta otu token n'otu oge, na-enwekwa usoro nke ọ bụla na akara ngosi dị n'ihu ya. N'oge ọzụzụ ị nwere ike ịzụ ihe nlereanya amụma amụma ya laghachi azụ, mana n'oge ọzụzụ amụma ndị ahụ na-abụkarị ihe na-ezighi ezi, yabụ njehie na-agbakọta ma na-amụ ihe. Ịmanye onye nkuzi kama na-azụ akara ala-eziokwu site na usoro ebumnuche n'usoro ọ bụla, yabụ ihe nlereanya ahụ na-edobe mgbe niile na nganiihu ziri ezi. Nke a na-enye ohere ka a zụọ ọkwa niile n'otu oge (karịsịa na Transformers site na nlebara anya onwe onye) ma na-emepụta gradients siri ike, kwụsiri ike. Ihe nwude: n'oge nkwuputa, ọ nweghị eziokwu ala dị adị, yabụ na ihe nlereanya ahụ ga-erirịrị nsonaazụ nke ya, na-ekepụta nhụsianya ụgbọ oloko a maara dị ka ajọ mbunobi.
Nghọta nka nka
Site na mmanye onye nkuzi, ntinye decoder na nzọụkwụ t bụ akara ọla edo y_{t-1}, ebe mfu bụ cross-entropy n'etiti nkesa ihe nlereanya na y_t. Na Transformers, ihe nkpuchi nlebara anya na-eme ka a hazie usoro ebumnuche niile n'otu ngafe na-aga n'ihu ka na-egbochi ọnọdụ ọ bụla ileba anya na akara ngosi n'ọdịnihu. Myirịta a bụ isi ihe kpatara ndị Transformers ji na-azụ nke ukwuu ngwa ngwa karịa ntọhapụ site-nzọụkwụ na-emegharị ugboro ugboro.
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 ịmanye onye nkuzi n'ụdị usoro
Mmanye onye nkuzi ga-abụ ntọala maka ịzụ ụdị asụsụ autoregressive n'ihi ọsọ ya, mana nyocha na-ejikọta ya na ihe ndị ọzọ. Nlereanya ahaziri ahazi, ebumnobi usoro-usoro, mmụta nkwado sitere na nzaghachi mmadụ, na ndị na-eme ihe na-anaghị akwụwa aka ọtọ niile bu n'obi ibelata oghere mkpughe-nsogbu. Na-atụ anya usoro ọmụmụ ngwakọ nke na-amalite site na ịmanye ndị nkuzi zuru oke ma jiri nwayọ kpughee ụdị n'ọgbọ nke ha ka ha na-etolite.
Mmejuputa n'ezie n'ụwa
Ọzụzụ ụdị ntụgharị asụsụ igwe akwara ebe a na-enye akara ahịrị ahịrị ebumnuche ọla edo n'ihe nrịbama na ihe nrụnye
Ịmalite ụdị asụsụ GPT site na iji mkpuchi ihe kpatara ya ka amụma ọ bụla na-esote ga-ahụ nke bụ eziokwu tupu akara.
Ọzụzụ ihe nchọpụta ihe onyonyo site n'ịnye okwu ntugharị aka n'oge mmụta
Nkuzi ihe nlere-okwu-gaa-ederede ebe mkpụrụedemede ederede-ezi-okwu na-eduzi onye nrụpụta na nzọụkwụ ọ bụla.
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 usoro-na-usoro
Ajụjụ a na-ajụkarị
What is Teacher Forcing in Sequence Models?
Mmanye onye nkuzi bụ aghụghọ ọzụzụ maka ụdị usoro ebe ezi akara ngosi gara aga, ọ bụghị echiche nke ihe nlereanya ahụ, ka etinyere dị ka ntinye na-esote. Ọ na-eme ka ọzụzụ dị ngwa ma kwụsie ike.
N'oge mmanye onye nkuzi, kedu ihe a na-enye nri dị ka ntinye na usoro ngbanwe ọ bụla?
Mmanye onye nkuzi na-enye ezi ebumnuche ebumnuche gara aga karịa amụma ihe nlereanya, na-edobe nganiihu ntụzịaka ziri ezi.
Kedu uru bụ isi nke ịmanye onye nkuzi n'oge ọzụzụ?
N'ihi na ihe nlereanya ahụ na-enwekarị ọnọdụ na prefixes ziri ezi, gradients na-esiwanye ike yana ọzụzụ na-agbakọta ngwa ngwa yana kwụsie ike.
N'ime ihe ngbanwe mgbanwe, kedu usoro na-eme ka ọzụzụ ndị nkuzi na-amanye na-aga n'otu n'otu n'ofe ọkwa?
Ihe nkpuchi na-akpata na-egbochi ọnọdụ ọ bụla ịbanye na akara ngosi n'ọdịnihu, ya mere enwere ike ịhazi usoro dum n'otu oge na-enweghị aghụghọ.
N'oge nhọpụta, gịnị kpatara na enweghị ike iji mmanye onye nkuzi?
N'oge ezigbo ọgbọ ọ nweghị usoro ebumnuche dị, yabụ ihe nlereanya ahụ ga-azụrịrị amụma nke ya azụ, n'adịghị ka n'oge ọzụzụ.
Kedu mfu a na-ejikarị na nzọụkwụ ọ bụla n'oge ọzụzụ ndị nkuzi manyere?
A zụrụ ụdị autoregressive site na iji akara-ọkwa cross-entropy atụnyere nkesa amụma na akara ọla edo na-esote.