Nhungamiro yehunyanzvi

Kunofungira Magadzirirwo eMakodhi Models

Kurongeka kwekufungidzira kunoita kuti AI kodhi yekugadzirisa inzwe nekukurumidza nekufanotaura kuti mazhinji efaira acharamba asina kuchinjika uye achingosimbisa zvikamu zvidiki zvinosiyana.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Pa peji ino2 min verenga
  1. Pfupiso
  2. Kudzika Kwakadzika
  3. Kuitwa muNyika yeChokwadi
  4. Ramangwana reKufungidzira Kugadziriswa kweKodhi Models
  5. Kuzvishandisa
  6. Ramba Uchiongorora
  7. Mibvunzo inowanzo bvunzwa

Pfupiso

It matters because it can cut latency for large rewrites by an order of magnitude in coding tools.

Kudzika Kwakadzika

Kana AI ichigadzirisa faira, ma tokens mazhinji ayo anoburitsa anowanzo kufanana nekodhi yekutanga; mitsetse mishomanana chete inochinja. Naive generation inoburitsa zvakare faira yese tokeni netokeni, inononoka kune mahombe mafaera. Magadzirirwo ekufungidzira anoshandisa chimiro chisina kuchinjika: iyo iripo sosi inoshanda seyepamusoro-mhando 'dhizaini' yezvichaburitswa nemuenzaniso. Iyo sisitimu inodyisa chunks yekodhi yekutanga sefungidziro yekufungidzira uye inoita kuti modhi ione mazhinji acho mukupfuura kumwe chete. Apo muenzaniso unobvumirana, zviratidzo izvozvo zvinogamuchirwa pakarepo; apo isingabvumirani, inogadzira nguva yakagadziriswa nguva dzose. Iyi ikodhi-yakasarudzika hama yekufungidzira decoding, asi pachinzvimbo cheyakaparadzana diki dhizaini modhi, iyo dhizaini inouya yakakosha mahara kubva kufaira riri kugadziridzwa, ichipa mahombe ekumhanyisa pamabasa anorema.

Kuitwa muNyika yeChokwadi

IDE mubatsiri anonyorazve 500-mutsara faira kutumidza zita rekuita, kugamuchira mitsetse yese isina kuchinjika mumapasi mashoma uye inongogadzira iyo yakatumidzwa zita.

A 'gadzirisa iyi lint kukanganisa' murairo unoburitsa iyo yakagadziriswa faira ipapo ipapo nekuti 99% yekodhi inoshandiswa zvakare seyekufungidzira dhizaini.

Iyo inozvimiririra yekukodha mumiriri inoshandisa akawanda ezvidiki zvakasiyana pane repo ine yakaderera per-edit latency, kuchengetedza iro basa rese nekukurumidza.

Chishandiso chekugadzirisa chinogadzirisa uye chinowedzera mazano emhando kumodule hombe, ichisimbisa huwandu hwepfungwa dzisina kuchinjika mukuwirirana pane kuigadzira patsva.

Ramangwana reKufungidzira Kugadziriswa kweKodhi Models

Kugadzirisa-inorema vamiririri uye IDE vabatsiri vanotsamira pane izvi kuti varambe vachiisa misiyano mikuru pedyo-pakarepo, kunyangwe pamafaira ane chiuru. Tarisira kubatanidzwa kwakasimba nemafomati akasiyana akarongeka, zvikumbiro zvinozivikanwa nemuti zvinoremekedza miganhu yesyntax, uye misanganiswa nekutora kuitira kuti fungidziro yekufungidzira inosanganisira zvingangove zvinogadzirisa. Sevanozvimiririra macoding agents vanoita gadziriso dzakawanda pabasa rimwe nerimwe, fungidziro inova chinhu chakakosha chekuchengetedza akawanda-nhanho workflows inoteerera uye yakachipa kumhanya.

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

  1. Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
  2. Benchmark pasi pechokwadi mutoro uye data mamiriro.
  3. Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
  4. 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 Speculative Edits for Code Models 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

What is Speculative Edits for Code Models?

Kurongeka kwekufungidzira kunoita kuti AI kodhi yekugadzirisa inzwe nekukurumidza nekufanotaura kuti mazhinji efaira acharamba asina kuchinjika uye achingosimbisa zvikamu zvidiki zvinosiyana. Izvo zvine basa nekuti inogona kucheka latency yekunyora kukuru neodha yehukuru mumakodhi maturusi.

Ndeapi maonero akakosha anoita kuti fungidziro dzishande?

Magadziriso anowanzo shandura mitsara mishoma, saka ruzhinji rwematokeni anobuda anoenderana nekwakabva uye anogona kushandiswazve.

'Kudhirowa' kunobvepi mune zvekufungidzira, zvichienzaniswa nedzakajairika kufungidzira decoding?

Panzvimbo peiyo yakaparadzana dhizaini modhi, iyo yekutanga faira pachayo inopa izvo zvekufungidzira zvikumbiro zvemahara.

Ko yakajairwa autoregressive decoding inoburitsa sei tokeni?

Classic decoding inoteedzana, ichigadzira imwe tokeni pane yekupfuura kumberi, izvo zvinoita kuti mahombe abude anonoke.

Mune nzira dzekufungidzira, chii chinoitika pakumhanya kwematokens anotsanangurwa ayo modhi inosimbisa kuti ndeyechokwadi?

Zvikumbiro zvakasimbiswa zvinogamuchirwa zvakafanana, saka akawanda anofananidzira tokeni anodhura nezve imwe pass pane akawanda.

Nekufungidzira kugadziridzwa, chizvarwa chinodhura zviyero zvakanyanya nei?

Zvisina kuchinjika spans zvinogamuchirwa zvakachipa, saka chizvarwa chaicho chinoshanda zvikero neicho chinoshanduka, kwete kureba kwefaira.