Overview
Mitemo yezviyereso maitiro eempirical anoratidza kuti kurasikirwa kweneural network kunowira kufanofungidzira paunokura modhi saizi, saizi yedataset, uye compute. Izvo zvine basa nekuti vanorega vaongorori vachifanotaura kuita vasati vashandisa mamirioni pakudzidzisa hofori modhi.
Kuyera Mitemo yeNeural Networks inogara mune yakakosha AI toolkit. Paunonzwisisa, mamwe maAI misoro inova nyore kuongorora uye kuenzanisa.
Deep Dive
Mitemo yekuyera, yakakurumbira ne OpenAI's 2020 bepa naKaplan nevamwe vaaishanda navo, vakaona kuti kurasikirwa kwebvunzo kunodzikira semutemo wakatsetseka wesimba muzvikamu zvitatu: parameter count (N), tokens yekudzidzira (D), uye yakazara compute (C). Yakarongerwa palog-log-axes, kurasikirwa maringe nechinhu chimwe nechimwe kunoumba mutsara wakatwasuka unotora akawanda maodha ehukuru. Hukama hunotora fomu Kurasika ≈ a + b · X^(-c), apo X ndiyo inoyera chinhu. Nehurombo, iro basa rekutanga rakakurudzira saizi yemhando yakakosha kupfuura data, zvichiita kuti mujaho uende kumhando dzakakura seGPT-3's 175 bhiriyoni paramita. Mitemo yekuyera yakashandura kudzidza kwakadzama kubva mukufungidzira kuita chirango cheinjiniya, zvichiita kuti zvikwata zvifungidzire mibairo mikuru kubva mukuedza kudiki, kwakachipa.
Technical Insight
Iyo simba-mutemo fomu inoreva imwe neimwe yakamisikidzwa yakawedzera kuwanda kwekuwedzera mukombuta inobereka zvinogara zvichiwedzera kuwedzera kudonha mukurasikirwa. Kurasika kunopimwa nema nats kana mabits pa tokeni ye cross-entropy. Nekuti iyo exponent c idiki (kazhinji yakatenderedza 0.05-0.1), mibairo ndeyechokwadi asi inoderera: kaviri komputa inobatsira zvishoma pane yekutanga kupetwa. Zvakakosha, iyi mitemo inotsanangura kurasikirwa kusingadzoreki-pamwe-kudzokororwa, uko izwi rinogara richitora iyo data yemukati entropy iyo isina modhi inogona kukunda.
Mastering Kuyera Mitemo yeNeural Networks
Mitemo yezviyereso maitiro eempirical anoratidza kuti kurasikirwa kweneural network kunowira kufanofungidzira paunokura modhi saizi, saizi yedataset, uye compute. Izvo zvine basa nekuti vanorega vaongorori vachifanotaura kuita vasati vashandisa mamirioni pakudzidzisa hofori modhi. Kuyera Mitemo yeNeural Networks inogara mune yakakosha AI toolkit. Paunonzwisisa, mamwe maAI misoro inova nyore kuongorora uye kuenzanisa. Kuvaka kunzwisisa kwakadzama, bata Mitemo yeScaling yeNeural Networks semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura izvo zvingaitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Scaling Mitemo yeNeural Networks zvinovaka akasimba epfungwa mamodheru kutanga, wozonyora iwo mamodheru kune chaiwo zvipingaidzo zvekugadzira. 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.
Inokubatsira kuparadzanisa zvakajeka zvichemo zvehunyanzvi kubva mumutauro wekushambadzira. Panguva imwecheteyo, Zvikwata zvakasiyana zvinogona kushandisa izwi rimwechete zvakasiyana, saka tsanangura nzvimbo nekukasira. 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
Inokubatsira kuparadzanisa zvakajeka zvichemo zvehunyanzvi kubva mumutauro wekushambadzira.
Inokubatsira kuparadzanisa zvakajeka zvichemo zvehunyanzvi kubva mumutauro wekushambadzira. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Iwe unogona kubvunza zvirinani kuita mibvunzo usati washandisa mari kana nguva.
Iwe unogona kubvunza zvirinani kuita mibvunzo usati washandisa mari kana nguva. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Zvikwata zvine nzwisiso yakagovaniswa inoita zvirinani chigadzirwa, mutemo, uye sarudzo dzekudzidza.
Zvikwata zvine nzwisiso yakagovaniswa inoita zvirinani chigadzirwa, mutemo, uye sarudzo dzekudzidza. 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
Kufanotaura kurasikirwa kwekupedzisira kweyakarongwa 70-bhiriyoni-parameta modhi kubva kune yakatevedzana madiki 100-miriyoni-parameter bvunzo inomhanya isati yaita bhajeti reGPU.
Kufunga kuti mangani matrillion ematokeni ekuunganidza kuitira kuti bhajeti rekombuta rakagadziriswa rirege kuraswa pamuenzaniso usina kudzidziswa.
Kuenzanisa zvivakwa zviviri zvakachipa nekukodzera macurves avo pachiyero chidiki pane kudzidzisa ese ari maviri saizi yakazara.
Kuisa tarisiro yechokwadi kune vanoisa mari kana kupa vanoongorora nekuwedzera iyo yekurasikirwa curve kune inotangwa compute level.
Maitiro Ekuita
Kuyera Mitemo yeNeural Networks mukuita
Kufanotaura kurasikirwa kwekupedzisira kweyakarongwa 70-bhiriyoni-parameta modhi kubva kune yakatevedzana madiki 100-miriyoni-parameter bvunzo inomhanya isati yaita bhajeti reGPU.
Kufanotaura kurasikirwa kwekupedzisira kweyakarongwa 70-bhiriyoni-parameta modhi kubva kudiki diki 100-miriyoni-parameta bvunzo inomhanya isati yaita bhajeti reGPU Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengeta nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Kuyera Mitemo yeNeural Networks mukuita
Kufunga kuti mangani matrillion ematokeni ekuunganidza kuitira kuti bhajeti rekombuta rakagadziriswa rirege kuraswa pamuenzaniso usina kudzidziswa.
Kufunga kuti mangani matiririyoni ematokeni ekuunganidza kuitira kuti bhajeti rekombuta risaraswe pane isina kudzidziswa modhi 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.
Kuyera Mitemo yeNeural Networks mukuita
Kuenzanisa zvivakwa zviviri zvakachipa nekukodzera macurves avo pachiyero chidiki pane kudzidzisa ese ari maviri saizi yakazara.
Kuenzanisa zvivakwa zviviri zvakachipa nekukodzera macurves avo pachiyero chidiki pane kudzidzisa ese ari maviri akazara saizi Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Kuyera Mitemo yeNeural Networks mukuita
Kuisa tarisiro yechokwadi kune vanoisa mari kana kupa vanoongorora nekuwedzera iyo yekurasikirwa curve kune inotangwa compute level.
Kuisa tarisiro yechokwadi kune vanoisa mari kana kupa vanoongorora nekuwedzera iyo yekurasika curve kune yakanangwa compute level 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.
Njodzi & Guardrails
Zvikwata zvakasiyana zvinogona kushandisa izwi rimwechete zvakasiyana, saka tsanangura nzvimbo nekukurumidza.
Benchmarks inogona kutaridzika yakasimba nepo chaiyo-yenyika kuita isina kuenzana.
Kuregeredza mhando yedata uye zvirongwa zvekuongorora zvinowanzogadzira mhedzisiro isina kusimba.
Implementation Roadmap
Tanga netsanangudzo yemutauro wakajeka yemhedzisiro yaunoda.
Tanga netsanangudzo yemutauro wakajeka yemhedzisiro yaunoda. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Sarudza metric imwe yekubudirira uye imwe yekutadza mamiriro usati waedzwa.
Sarudza metric imwe yekubudirira uye imwe yekutadza mamiriro usati waedzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Mhanya mutyairi mudiki ane data remumiriri, kwete demo rakakwenenzverwa.
Mhanya mutyairi mudiki ane data remumiriri, kwete demo rakakwenenzverwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Gwaro uko Kuyera Mitemo yeNeural Networks kunobatsira uye uko nzira dzakareruka dziri nani.
Gwaro uko Kuyera Mitemo yeNeural Networks kunobatsira uye uko nzira dzakareruka dziri nani. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.