InoteveraGaidhi rinotevera
Multi-Head Latent Attention
Mutauro AI
Nhungamiro yehunyanzvi
Attention Rollout uye Head Pruning
Attention rollout inzira yekutsvaga kuti ruzivo rwunofamba sei kuburikidza neTransformer's yakaturikidzana yekutarisisa maseru kutsanangura kuti ndeapi tokeni ekuisa anopesvedzera kufanotaura.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Kuchekerera musoro kunobvisa misoro yekutarisisa inopa zvishoma, mamodheru ari kuderera pasina kukuvadza chokwadi. Pamwe chete vanotibatsira kududzira nekumanikidza Transformers.
Kudzika Kwakadzika
Transformers vakaparadzira kufunga kwavo pamisoro yakawanda yekutarisisa muzvikamu zvakawanda, saka mepu yekutarisa imwe chete kashoma haitauri nyaya yacho yese. Attention rollout, yakaunzwa naAbnar naZuidema muna 2020, inogadzirisa izvi nekuwedzera iyo yekutarisisa matrices layer (mushure mekuverenga kune yasara yekubatanidza) kufungidzira kuti ingani imwe neimwe tokeni yekuisa inozopedzisira yabatsira kune yakapihwa tokeni yekubuda. Zvakaparadzana, tsvakurudzo dzakadai saMichel nevamwe vaunoshanda navo' 'Iri Misoro Gumi Nemitanhatu Zvechokwadi Here Kupfuura Mumwe?' yakaratidza kuti misoro mizhinji haina basa: chikamu chikuru chinogona kuchekwa panguva yekufungidzira nekurasikirwa kusingagoneki. Kuchekerera musoro kunoisa misoro nekukosha, kazhinji uchishandisa gradient-based sensitivity zvibodzwa, wozovhara izvo zvisinganyanyi kubatsira. Matekiniki maviri aya anopindirana: kuburitsa kunoratidza kuti ndezvipi zvikamu zvenetiweki zvine chekuita nekududzira, uye kuchekerera zviito pane redundancy kuita mamodheru diki uye nekukurumidza.
Kuitwa muNyika yeChokwadi
Kuona mazwi api mumutsara anovimbwa nawo neTransformer classifier, nekuburitsa kutarisisa kuratidza zviratidzo zvine simba.
Kudzvanya modhi yeBERT yekutumirwa kwenhare nekuchekerera misoro isingatarisire kutema latency
Kuongorora modhi yerusarura nekuteedzera kuyerera kubva pakufanotaura kudzokera kumatokeni ekuisa anonzwisisika
Kumhanyisa fungidziro mumasisitimu eshanduro yekugadzira nekubvisa misoro isingakoshi yakaonekwa kuburikidza nekunzwa zvibodzwa
Ramangwana Rekutarisisa Kuburitswa uye Kuchekerera Musoro
Sezvo mamodheru achikura, fungidziro inoshanda uye tsananguro dzakavimbika zvese zvinowana kukurumidza. Tarisira kuchekerera musoro kuti ubatanidzwe nekuchekerera kwakarongeka, quantization, uye distillation mumapaipi ekuisa pamupendero uye isingadhuri kushumira. Kududzira kuri kufambira mberi kupfuura kuburitsa kune kutarisisa kuyerera, gradient-uremu nzira, uye mechanistic dunhu ongororo inoongorora mashandiro emisoro yega. Regulatory kudzvanywa kweinotsanangurika AI icharamba ichityaira tsvagiridzo inobatanidza izvo zvinotungamira kune izvo zvavanonyatso kuverengera.
Kuzvishandisa
Nei zvichikosha
- Mutengo uye bhajeti. Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
- Sarudzo dzakajeka. Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
- Kudzora kwemhando yepamusoro. Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Chenjera
- Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
- Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
- Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Matanho anotevera
- Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
- Benchmark pasi pechokwadi mutoro uye data mamiriro.
- Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
- Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the Attention Rollout and Head Pruning quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
Chii chinonzi Attention Rollout uye Head Pruning?
Attention rollout inzira yekutsvaga kuti ruzivo rwunofamba sei kuburikidza neTransformer's yakaturikidzana yekutarisisa maseru kutsanangura kuti ndeapi tokeni ekuisa anopesvedzera kufanotaura. Kuchekerera musoro kunobvisa misoro yekutarisisa inopa zvishoma, mamodheru ari kuderera pasina kukuvadza chokwadi. Pamwe chete vanotibatsira kududzira nekumanikidza Transformers.
Chinangwa chekutarisisa ndechei?
Kuburitsa kunowedzera kutarisisa kwehungwaru (nezvisaririra) kufungidzira kuti chiratidzo chega chega chekuisa chinopesvedzera sei chinobuda.
Sei mepu yekutarisisa yechikamu chimwe isina kukwana kutsanangura?
Nekuti kufunga kwakagovaniswa kune akaturikidzana akaturikidzana uye misoro, mepu yeimwe layer haigone kutora kuyerera kweruzivo rwakazara.
Chii chinopa kutarisisa kunowedzera kune yega yega matrix yekuzvidavirira kune yakasara yekubatanidza?
Kuwedzera identity component modhi yasara skip yekubatanidza inoita kuti tokeni dzichengete ruzivo rwadzo.
Ko tsvagiridzo pamusoro pekutarisa-mumusoro-zhinji yakaratidzei nezve kuderedzwa kwemusoro?
Zvidzidzo zvakaita se'Ko Misoro Gumi Nenhanhatu Iri Nani Kupfuura Imwe Here?' yakaratidza chikamu chikuru chemisoro chakasara pakufungidzira.
Kukosha kwemusoro kunowanzofungidzirwa sei pakuchekerera?
Kukosha kunowanzo kupihwa uchishandisa gradient yekurasikirwa neruremekedzo kune mask inosiyana pamusoro wega wega.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi