I-DeepMind yethule uhlelo lokufunda lomshini lokukhiqiza ikhodi kusuka encazelweni yombhalo yomsebenzi

Inkampani ye-DeepMind, eyaziwa ngentuthuko yayo emkhakheni wezobuhlakani bokwenziwa kanye nokwakhiwa kwamanethiwekhi emizwa akwazi ukudlala imidlalo yamakhompiyutha neyebhodi ezingeni labantu, yethule iphrojekthi ye-AlphaCode, eyakha uhlelo lokufunda lomshini lokukhiqiza ikhodi engakwazi ukubamba iqhaza. emiqhudelwaneni yokuhlela endaweni yesikhulumi seCodeforces futhi ubonise umphumela omaphakathi. Isici esiyinhloko sokuthuthukiswa yikhono lokukhiqiza ikhodi nge-Python noma i-C++, ukuthatha njengokufaka umbhalo onesitatimende senkinga ngesiNgisi.

Ukuze kuhlolwe uhlelo, imiqhudelwano emisha eyi-10 ye-Codeforces enabahlanganyeli abangaphezu kuka-5000 yakhethwa, ebanjwe ngemva kokuphothulwa kokuqeqesha imodeli yokufunda yomshini. Imiphumela yokuqeda imisebenzi ivumele isistimu ye-AlphaCode ukuthi ingene cishe phakathi nesilinganiso sale miqhudelwano (54.3%). Isilinganiso sisonke esibikezelwe se-AlphaΠ‘ode sasingamaphoyinti angu-1238, okuqinisekisa ukungena ku-28% Abaphezulu phakathi kwabo bonke ababambiqhaza be-Codeforces abaye babamba iqhaza emiqhudelwaneni okungenani kanye ezinyangeni ezingu-6 ezedlule. Kuyaphawulwa ukuthi iphrojekthi isesigabeni sokuqala sokuthuthuka futhi esikhathini esizayo ihlelelwe ukuthuthukisa ikhwalithi yekhodi ekhiqiziwe, kanye nokuthuthukisa i-AlphaCode kumasistimu asiza ekubhaleni ikhodi, noma amathuluzi okuthuthukisa uhlelo lokusebenza anga esetshenziswa abantu abangenawo amakhono okuhlela.

Le phrojekthi isebenzisa i-Transformer neural network architecture ihlanganiswe nezindlela zokusampula nezindlela zokuhlunga ukuze kukhiqizwe izinhlobo ezahlukene zamakhodi ezingalindelekile ezihambisana nombhalo wolimi lwemvelo. Ngemuva kokuhlunga, ukuhlanganisa kanye nokukala, ikhodi yokusebenza engcono kakhulu iyasuswa ekusakazweni kwezinketho ezikhiqiziwe, ebuye ihlolwe ukuze kuqinisekiswe ukuthi umphumela olungile uyatholakala (umsebenzi ngamunye wokuncintisana ubonisa isibonelo sedatha yokufaka kanye nomphumela ohambisana nalesi sibonelo. , okufanele itholwe ngemva kokwenza uhlelo).

I-DeepMind yethule uhlelo lokufunda lomshini lokukhiqiza ikhodi kusuka encazelweni yombhalo yomsebenzi

Ukuze siqeqeshe cishe uhlelo lokufunda lomshini, sisebenzise isisekelo sekhodi esitholakala kumakhosombe asesidlangalaleni e-GitHub. Ngemva kokulungiselela imodeli yokuqala, kwenziwa isigaba sokuthuthukisa, ngokusekelwe eqoqweni lekhodi elinezibonelo zezinkinga nezisombululo eziphakanyiswe abahlanganyeli emiqhudelwaneni yeCodeforces, CodeChef, HackerEarth, AtCoder kanye ne-Aizu. Sekukonke, i-715 GB yekhodi evela ku-GitHub kanye nezibonelo ezingaphezu kwesigidi zezixazululo zezinkinga zokuncintisana ezijwayelekile zisetshenziselwa ukuqeqeshwa. Ngaphambi kokudlulela ekukhiqizeni amakhodi, umbhalo womsebenzi udlule esigabeni sokujwayelekile, lapho konke okungadingekile kwaqedwa futhi kwasala izingxenye ezibalulekile kuphela.

I-DeepMind yethule uhlelo lokufunda lomshini lokukhiqiza ikhodi kusuka encazelweni yombhalo yomsebenzi


Source: opennet.ru

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