Overview
Mashiripiti AI anovaka muganho kodhi-chizvarwa modhi inosiyaniswa neakareba kwazvo mamiriro windows, ichirega modhi kuverenga iyo codebase yese kamwechete. Izvo zvine basa nekuti kunzwisisa kwesoftware kunoenderana nemamiriro ezvinhu, uye modhi inogona kubata mamirioni emitsara mundangariro inogona kufunga nezve purojekiti yese kwete faira rimwe chete.
Mashiripiti AI Yakareba-Context Code Models inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
Mashiripiti AI ndeyekutanga kuvavarira kuvaka AI software mainjiniya kwete kungoita autocomplete chishandiso. Kubudirira kwayo kwemusoro ndeye mhuri yemuenzaniso yeLTM (Kuyeuka Kwenguva Yakareba, kusanganisira LTM-2-mini, iyo kambani inoti inotsigira mahwindo emamiriro ezvinhu anosvika miriyoni zana tokens - zvakada kuenzana neanosvika 10 miriyoni mitsetse yekodhi kana zviuru zvemabhuku akabatwa mumamiriro ekushanda panguva imwe chete. Muna 2024 Mashiripiti akazivisa kudyidzana kukuru ne Google Cloud kuvaka macomputer emhando yepamusoro paNvidia Hardware uye akakwidza mazana emamiriyoni emadhora, nevatsigiri vanosanganisira Eric Schmidt. Kuyera kufambira mberi kupfuura mabhenji anoyeukwa nemusoro, Mashiripiti akagadzira HashHop, ongororo ichishandisa zvisina kurongeka hashi cheni iyo modhi haigone kuyeuka kubva pakudzidziswa, ichimanikidza kudzoreredza kwechokwadi-refu-mamiriro ezvinhu.
Technical Insight
Standard transformer yekutarisisa inoyera quadratically nehurefu hwekutevedzana, zvichiita 100-miriyoni-token mamiriro kudhura zvisingaite nemaitiro asina maturo. Mashiripiti anoshuma kuti LTM-2-mini sequence-dimension algorithm yakachipa zvakanyanya pane tokeni pane nzira yakadai, ichigonesa yekupedzisira-refu mamiriro zvinokwanisika. Iyo HashHop benchmark inotsiva semantic hints neyakaerekana, incompressible hashi pairs, saka nzira yega yekupindura ndeyekunyatso tora uye kubatanidza ruzivo pahwindo rakazara remamiriro - muyedzo wakaomarara wekugona-refu-mamiriro.
Mastering Mashiripiti AI Yakareba-Context Code Models
Mashiripiti AI anovaka muganho kodhi-chizvarwa modhi inosiyaniswa neakareba kwazvo mamiriro windows, ichirega modhi kuverenga iyo codebase yese kamwechete. Izvo zvine basa nekuti kunzwisisa kwesoftware kunoenderana nemamiriro ezvinhu, uye modhi inogona kubata mamirioni emitsara mundangariro inogona kufunga nezve purojekiti yese kwete faira rimwe chete. Mashiripiti AI Yakareba-Context Code Models inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, bata Mashiripiti AI Yakareba-Context Code Models semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo system inogona kuita nekuvimbika kubva kune ichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Magic AI Long-Context Code Models inoongorora zano revatengesi, kuvimbika kwemepu yemugwagwa, uye njodzi yekuvhara isati yaita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Panguva imwecheteyo, zviziviso zveLaunch zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Kurodha yakakura yese repository kuti modhi igone kupindura mibvunzo nezvekuti mamodule ari kure anopindirana sei.
Kuita purojekiti-yakafara refactor uko shanduko mune imwe faira interface inofambiswa nemazvo mukati mese codebase.
Kutsvaga tsikidzi inokonzeresa mafaera mazhinji nekufunga pamusoro peiyo yakazara mamiriro kamwechete panzvimbo yefaira-ne-faira.
Kukwira kune isingazivikanwe codebase nekukumbira modhi kuti ipfupise zvivakwa uchishandisa iyo yakazara sosi semamiriro.
Maitiro Ekuita
Mashiripiti AI Yakareba-Context Code Models mukuita
Kurodha yakakura yese repository kuti modhi igone kupindura mibvunzo nezvekuti mamodule ari kure anopindirana sei.
Kurodha hombe repository kuitira kuti modhi igone kupindura mibvunzo pamusoro pekuti mamodules arikure anodyidzana sei Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Mashiripiti AI Yakareba-Context Code Models mukuita
Kuita purojekiti-yakafara refactor uko shanduko mune imwe faira interface inofambiswa nemazvo mukati mese codebase.
Kuita purojekiti-yakafara refactor uko shanduko mune imwe faira interface inoparadzirwa nenzira kwayo mukati mese codebase Matimu anowanzo kuwana mhedzisiro iri nani kana vachitsanangudza hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Mashiripiti AI Yakareba-Context Code Models mukuita
Kutsvaga tsikidzi inokonzeresa mafaera mazhinji nekufunga pamusoro peiyo yakazara mamiriro kamwechete panzvimbo yefaira-ne-faira.
Kutsvaga tsikidzi inokonzeresa mafaera mazhinji nekufunga pamusoro peiyo yakazara mamiriro kamwechete panzvimbo yefaira-ne-faira Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Mashiripiti AI Yakareba-Context Code Models mukuita
Kukwira kune isingazivikanwe codebase nekukumbira modhi kuti ipfupise zvivakwa uchishandisa iyo yakazara sosi semamiriro.
Kukwira kune isina kujairika codebase nekubvunza modhi kuti ipfupise zvivakwa uchishandisa iyo yakazara sosi semamiriro Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Ongorora vanopa uchishandisa ako ega mabasa uye dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.