InoteveraGaidhi rinotevera
Byte-Pair Encoding
Mutauro AI
Nhungamiro yehunyanzvi
Tokenization uye Byte Pair Encoding
Tokenization inokamura zvinyorwa kuita zvikamu zvidiki zvemhando yemutauro inoverengwa, uye Byte Pair Encoding (BPE) ndiyo nzira yakakurumbira yekuvaka iyo mazwi.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
It balances having a manageable vocabulary against handling any word the model might encounter.
Kudzika Kwakadzika
Mamodheru emitauro haaone mavara asina kubikwa kana mazwi akazara - anoona tokens, ma ID akamisikidzwa kuita zvidimbu zvemavara. Kusarudza zvimedu izvozvo ibasa rekutengesa: mazwi-chikamu chemazwi akakura uye anodzipwa nemazwi asingaonekwe kana kupereterwa zvisizvo, nepo nhanho-yemhando inoita nhevedzano refu. Byte Pair Encoding inorova nzvimbo yepakati. Yakakweretwa kubva ku1990s data-compression algorithm, BPE inotanga kubva kune ega mavara (kana mabhayiti akaomeswa) uye inodzokorodza kubatanidza iyo inowanzoitika peya padhuze kuita chiratidzo chitsva, ichikura mazwi kune akajairika madiki. Mazwi anowanzova zviratidzo zvimwechete, nepo mazwi asingawanzo kupatsanurwa kuita zvidimbu zvinogona kushandiswa zvakare. BPE-level BPE, inoshandiswa nemhando dzeGPT, inoshanda pamabhayiti mbishi saka inogona kumiririra chero mavara eUnicode - kusanganisira emoji uye chero mutauro - pasina kukundikana kwemazwi.
Kuitwa muNyika yeChokwadi
GPT neLlama modhi dzinoshandisa BPE-maitiro tokenizer kushandura zvinokurudzira kuita tokeni ID maitiro etiweki.
API mitengo uye mamiriro-hwindo muganho anoyerwa mumatokeni, saka tokenization inobata zvakananga mutengo uye kuti yakawanda sei mavara anokwana.
Kubata emoji, kodhi, uye mazwi asingawanzo nenyasha nekuapatsanura kuita reusable subword kana byte zvidimbu.
Kutsigira mitauro yakawanda mune imwe modhi pasina duramazwi rakasiyana pamutauro, kuburikidza nebyte-level encoding.
Ramangwana reTokenization uye Byte Pair Encoding
Tokenization iri pasi pekufungisisa zvakare. Byte- uye mhando-level modhi seByT5, uye ichiri kusimukira-isina kana 'byte-latent' zvivakwa, zvinovavarira kudonhedza mazwi akagadzika zvachose kuitira kuti mamodheru abate chero mapindiro uye chero mutauro zvakafanana. Vatsvagiri vari kuitawo tokenization fairness - mitauro mizhinji isiri yeChirungu uye yakaderera-zvishandiso parizvino inodhura zvakanyanya tokeni pamutsetse, kukwidza mutengo uye kudzikira kunoshanda. Tarisira ma tokenizer akarongedzerwa kodhi, masvomhu, uye chiyero chemitauro yakawanda, pamwe nekuenderera mberi kuyedza kusunda muganho kudzokera kumabhaiti akaomeswa.
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 Tokenization and Byte Pair Encoding 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
What is Tokenization and Byte Pair Encoding?
Tokenization inokamura zvinyorwa kuita zvikamu zvidiki zvemhando yemutauro inoverengwa, uye Byte Pair Encoding (BPE) ndiyo nzira yakakurumbira yekuvaka iyo mazwi. Inoenzanisa kuva nezwi rinogoneka pakubata chero izwi ringasangana nemuenzaniso.
Chii chinonzi tokenization chinoburitsa kune modhi yemutauro kuverenga?
Mamodheru anoshanda pamatokeni - maID akazara anomiririra mavara, madiki, kana mazwi - kwete tambo dzemavara.
Ko Byte Pair Encoding inovaka sei mazwi ayo?
BPE inotanga kubva kune mavara kana mabhayiti uye nemakaro inobatanidza peya dzinowanzogara dzakatarisana, zvishoma nezvishoma zvichigadzira akajairika madiki tokens.
Nderipi dambudziko rinogadziriswa ne subword nzira seBPE zvichienzaniswa neshoko-level tokenization?
Mazwi edanho remazwi anokundikana pamashoko asingaonekwi; subword tokenization inopwanya mazwi asingawanzo kuita zvidimbu zvinozivikanwa, kudzivirira matambudziko ekusaziva kwemazwi uku uchichengeta duramazwi richigoneka.
Chii chakanakira byte-level BPE, sekushandiswa mumhando dzeGPT?
Kushanda pamabhayiti mbishi kunoreva kuti zvese zvinogoneka zvinogona kuiswa encoded, saka hapana mavara asinganyatso zivikanwa zvisinei nemutauro kana chiratidzo.
Sei nhamba yechiratidzo chemuenzaniso ichiwanzosiyana nehuwandu hwemashoko mumutsara?
Subword tokenization inogona kutyora izwi rimwechete kuita zvimedu zvakawanda uye inonzwa kupatsanurwa uye kesi, saka tokeni inoverengeka haiwanzo kuenzana kuverenga mazwi.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi