Mutauro AI GUIDE

Shanduro yemuchina

Shanduro yemuchina inoshandura mutauro wotomatiki kubva mumutauro wekutanga kuenda kumutauro waunonongedza.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Tanga kuverengaTora mubvunzo
Pa peji ino2 min verenga
  1. Pfupiso
  2. Zvakakosha zvinobuda
  3. Kudzika Kwakadzika
  4. Enzanisa kubatsira nekupindirana kwemazwi
  5. Kuitwa muNyika yeChokwadi
  6. Kuzvishandisa
  7. Sources uye kuwedzera kuverenga
  8. Ramba Uchiongorora
  9. Mibvunzo inowanzo bvunzwa

Pfupiso

Neural masisitimu anowanzo tora izvi sekutevedzana-kune-kutevedzana basa: verenga imwe kutevedzana uye gadzira imwe. Kuvaka uye kuongorora sisitimu yakadai kunoda kutarisisa kurongeka kwedata uye kukanganisa kwakanangana nemutauro.

Zvakakosha zvinobuda

  1. Tarisa data yakarongedzerwa uye gwaro-level splits.
  2. Rekodha kuongororwa kwekugadzirisa.
  3. Ongorora zvikanganiso zvinoshandura zvinoreva nemitauro miviri.

Kudzika Kwakadzika

Parallel training data pairs dzinopa ndima dzine shanduro dzinoenderana. Kurongeka kusina kururama, mashoko akadhindwa, kana kuti mazita emutauro asingaenderani anogona kudzidzisa ukama husina kunaka. Chenesa vaviri vacho uye chengeta magwaro pamwe chete paunenge uchitsemura data yekuongorora kudzivirira pedyo-inodzokorora kuvuza. Tokenization inosarudza kuti zvinyorwa zvinova sei modhi yekuisa. Tokenizer inobata imwe nzira yekunyora zvakanaka inogona kupatsanura imwe kuita mamwe akawanda mayunitsi. Tarisa miganhu yehurefu mumitauro miviri uye kuti kudimburira kunobvisa kumagumo kwerinobva kana ndima yauri kuda. Otomatiki metrics inoita kuti zviedzo zvinodzokororwa zvishande. BLEU inoenzanisa mapatani ekutevedzana kwemazwi neshanduro dzereferensi, asi metric haisi mutongo wakakwana wezvinoreva, kuverenga, kana kukodzera kwedura. Ealuation marongero uye sarudzo dzereferensi zvine basa, saka zvirekode nezvibodzwa. Shandisa taxonomy yekukanganisa padivi pemetrics: mawedzero, zvakasiiwa, nhamba dzakachinjika, izwi risingaenderane, kuregeredza kwakashata, uye chirevo chisina kunaka. Ongorora mitauro miviri uye domain zvakaparadzana. Avhareji yemitauro yakawanda ine zviwanikwa inogona kuvanza kukundikana mumutauro usingamiririrwe kana mhando yezvinyorwa.

04Muenzaniso wakashanda

Enzanisa kubatsira nekupindirana kwemazwi

  1. Sarudzo A

    Fungidzira chirevo "Pasuru haina kusvika." Mumiriri A anoti "Pasuru haina kumbosvika." Mumiriri B anoti "Pasuru yakasvika."

  2. Sarudzo B

    Mumiriri A anoshandisa mazwi akasiyana asi anochengetedza chirevo chikuru. Mumiriri B anofanana nereferenzi apo achidzosera mhedzisiro.

Muedzo

Rekodha kukanganisa kwekuramba zviri pachena pane kusarudza shanduro nechitarisiko kana kupindirana chete.

Zvazvinoratidza

Muenzaniso wakagadzirwa unoratidza kuti nei metric-yakavakirwa kuenzanisa ichida semantic wongororo.

Kuitwa muNyika yeChokwadi

Ongorora bvunzo yakagadzika seti ine ese akanyorwa metric uye nemitauro miviri ongororo yekukanganisa.

Ongorora sosi-yakananga pairs yemisi isingaenderani, mazita, uye mitsara yemiganhu.

Kuzvishandisa

Nei zvichikosha

  • Kumhanya uye chiyero. Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.
  • Svika uye svika. Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.
  • Sarudzo dzakajeka. Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.

Chenjera

  • Chokwadi chehuroyi chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana tsvakiridzo.
  • Kunzwa nekukasira kunogona kugadzira mhedzisiro isingaenderane pane zvikumbiro zvakafanana.
  • Sensitive text data inogona kuburitswa kana zvidhiraivho zvisina kusimba.

Matanho anotevera

  1. Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.
  2. Mhinduro dzepasi neakavimbika masosi pese pazvine basa.
  3. Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.
  4. Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.

Sources uye kuwedzera kuverenga

  1. Association for Computational LinguisticsBleu: Nzira Yekuongorora Otomatiki Yeshanduro yemuchina

Ramba Uchiongorora

ChatGPT neLLMs

Ona kuti mamodheru emitauro yemazuva ano anoburitsa uye kufunga sei.Verenga Guide

Nheyo dzeNLP

Dzidza zvakakosha zvekugadzirisa mutauro kuseri kwezvishandiso izvi.Verenga Guide

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 Machine Translation quiz

Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.

Tanga mibvunzo

Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo

Mibvunzo inowanzo bvunzwa

Ko BLEU chikamu chemitsetse yakashandurwa zvakarurama here?

Aiwa. Iro ireferensi-yakavakirwa metric, kwete kuverenga kwakananga kwemitsetse iyo munhu anogona kutonga yakarurama.

Ramba uchidzidza

Mazano anoenderana

Mamwe madhairekitori akasarudzirwa nyaya iyi

Wana chitupa cheAI chemaharaKosi pfupi yemahara nebvunzo. Hapana mutengo, hapana kadhi. Inoda kusvika maawa 2.5.Tanga mahara →