Mutauro AI GUIDE

Skeleton-ye-Pfungwa Parallel Decoding

Skeleton-of-Thought (SoT) inzira yekukurudzira uye yekudhirodha iyo inotanga yabvunza modhi yemutauro kuti itaure ipfupi skeleton yemapoinzi emhinduro, wozowedzera poindi imwe neimwe mukufanana.

Overview

Skeleton-of-Thought (SoT) inzira yekukurudzira uye yekudhirodha iyo inotanga yabvunza modhi yemutauro kuti itaure ipfupi skeleton yemapoinzi emhinduro, wozowedzera poindi imwe neimwe mukufanana. Izvo zvine basa nekuti inogona kucheka madziro-wachi latency yemhinduro refu neinosvika 2x pasina kudzidzisazve modhi.

Skeleton-of-Thought Parallel Decoding chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero.

Deep Dive

Mhando dzemitauro mikuru dzinowanzo gadzira chiratidzo chimwe panguva, saka mhinduro refu inononoka nekuti izwi rega rega rinomirira iro riri pamberi paro. Skeleton-of-Thought, yakaunzwa nevatsvakurudzi kuTsinghua uye Microsoft muna 2023, inogadzirisa basa. Kufona kwekutanga kunobvunza modhi kune terse skeleton: rondedzero ine nhamba ye 3 kusvika 10 misoro yezvibodzwa, imwe neimwe ingori mazwi mashoma. Boka rechipiri rekufona rinobva rawedzera poindi yega yega uye panguva imwe chete, nekuti mapoinzi haaenderane. Iwo mawedzero anobatanidzwa kumashure pamwe chete mumhinduro yekupedzisira. Nekuti inononoka nhanho yekuwedzera inomhanya mukufanana, yakazara latency inodonha zvakanyanya kumibvunzo ine mhinduro dzinogara dzichiora kuita zvikamu zvakazvimirira, senge matipi ekunyora kana kuenzanisa sarudzo.

Technical Insight

SoT inoshandisa iyo decoder inference ndeye latency-yakasungwa, kwete nguva dzose compute-yakasungwa: chikumbiro chimwe chete chinowanzosiya GPU isingashandiswe. Running point yekuwedzera sebatch inochengeta Hardware yakabatikana uye inodarika chizvarwa cheper-point. Nema API modhi, iwo ekuwedzera anopihwa sezvikumbiro panguva imwe chete; nemamodheru emuno, vanogovana imwe batched yekupfuura pass. Iyo skeleton stage inowedzera yakagadziriswa ipfupi pamusoro, saka mambure speedup inokura nehurefu hwemhinduro uye huwandu hwemapoinzi akazvimirira.

Kubata Skeleton-ye-Kufunga Parallel Decoding

Skeleton-of-Thought (SoT) inzira yekukurudzira uye yekudhirodha iyo inotanga yabvunza modhi yemutauro kuti itaure ipfupi skeleton yemapoinzi emhinduro, wozowedzera poindi imwe neimwe mukufanana. Izvo zvine basa nekuti inogona kucheka madziro-wachi latency yemhinduro refu neinosvika 2x pasina kudzidzisazve modhi. Skeleton-of-Thought Parallel Decoding chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero. Kuvaka kunzwisisa kwakadzama, bata Skeleton-of-Thought Parallel Decoding semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvaunoda mhedzisiro, kujekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.

Mukuita, zvikwata zvakasimba zvinoshandisa Skeleton-of-Thought Parallel Decoding dhizaini zvinokurudzira, kudzoreredza, uye kuongorora zvishwe seimwe yakabatanidzwa yekutaurirana system. 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.

Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana. Panguva imwecheteyo, chokwadi cheHallucified chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana kutsvagisa zvinobuda. 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

Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.

Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.

Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.

Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Ramangwana reSkeleton-ye-Pfungwa Parallel Decoding

Tarisira mazano eSoT kuti abatanidze kuita inochinja nzira: masisitimu anoona kana mubvunzo waora zvakachena uye uchichinja kuenda kukuwedzera kwakafanana, uchidzokera kune akatevedzana kufunga kwemabasa anovimba zvakasimba seuchapupu hwemasvomhu. Misiyano yakadai seSoT ine dynamic graph inotsamira inobvumira mapoinzi anonongedza mumwe nemumwe. Sezvo masevhisi masisitimu anowedzera ekuzvarwa batched sub-chikumbiro tsigiro uye yekufungidzira decoding, parallel-decomposition marongero anozove akajairwa latency-yekudzikisa layer pane yebhuku rekukurumidza trick.

Real-World Implementation

Kumhanyisa chatbot inopindura 'ndipe matipi masere ekudzikisa mutengo wegore' nekuwedzera ese masere matipi kamwechete.

Mutengi-rutsigiro mubatsiri achigadzira yakarongeka yakawanda-chikamu chekugadzirisa dambudziko ine yakaderera mhinduro latency.

Kugadzira mhinduro yekuenzanisa (zvakanakira uye zvakaipira zvezvigadzirwa zviviri) apo bara rega rega rinozadzwa panguva imwe chete.

Backend sevhisi masisitimu batching yakazvimirira mhinduro zvikamu kusimudza kushandiswa kweGPU panguva yechizvarwa-refu-fomu.

Maitiro Ekuita

Skeleton-ye-Kufunga-Parallel Decoding mukuita

Kumhanyisa chatbot inopindura 'ndipe matipi masere ekudzikisa mutengo wegore' nekuwedzera ese masere matipi kamwechete.

Kumhanyisa chatbot inopindura 'ndipei matipi masere ekudzikisa mutengo wemakore' nekuwedzera matipi masere panguva imwe Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mabinduru emhando kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

Skeleton-ye-Kufunga-Parallel Decoding mukuita

Mutengi-rutsigiro mubatsiri achigadzira yakarongeka yakawanda-chikamu chekugadzirisa dambudziko ine yakaderera mhinduro latency.

Mutengi-rutsigiro mubatsiri anogadzira yakarongeka-akawanda-chikamu dhizaini dhairekitori ine yakaderera mhinduro latency 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.

Skeleton-ye-Kufunga-Parallel Decoding mukuita

Kugadzira mhinduro yekuenzanisa (zvakanakira uye zvakaipira zvezvigadzirwa zviviri) apo bara rega rega rinozadzwa panguva imwe chete.

Kugadzira mhinduro yekuenzanisa (zvakanakira nezvazvakaipira zvezvigadzirwa zviviri) apo bara rega rega rinozadzwa panguva imwe chete Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

Skeleton-ye-Kufunga-Parallel Decoding mukuita

Backend sevhisi masisitimu batching yakazvimirira mhinduro zvikamu kusimudza kushandiswa kweGPU panguva yechizvarwa-refu-fomu.

Backend sevhisi masisitimu batching yakazvimiririra mhinduro zvikamu kusimudza kushandiswa kweGPU panguva refu-fomu chizvarwa 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

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Chokwadi chehuroyi chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana tsvakiridzo.

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Kunzwa nekukasira kunogona kugadzira mhedzisiro isingaenderane pane zvikumbiro zvakafanana.

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Sensitive text data inogona kuburitswa kana zvidhiraivho zvisina kusimba.

Implementation Roadmap

1

Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.

Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

2

Mhinduro dzepasi neakavimbika masosi pese pazvine basa.

Mhinduro dzepasi neakavimbika masosi pese pazvine basa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

3

Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.

Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

4

Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.

Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

Ramba Uchiongorora