Overview
Grouped-Query Attention (GQA) inzira yekumisikidza ndangariro inodiwa panguva yekugadzira zvinyorwa nekusiya misoro yemibvunzo yakati wandei igovane kiyi yakafanana nemisoro yekukosha. Inoita mamodheru makuru kukurumidza kushandira pamwe nekusaita kurasikirwa kwemhando.
Grouped-Query Attention chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero.
Deep Dive
Mune yakajairwa yakawanda-yemusoro yekutarisisa layer, musoro wega wega une mibvunzo yayo, makiyi, uye kukosha. Munguva yechizvarwa, makiyi uye kukosha kune ese ekare tokens akachengetwa (iyo 'KV cache') kuti modhi irege kuvaverengera. Iine misoro mizhinji uye marefu mamiriro, iyi cache inova yakakura uye inotonga ndangariro bandwidth panguva yekufungidzira. GQA, yakaunzwa neGoogle vatsvakurudzi muna 2023, inounganidza misoro yemibvunzo uye inopa boka rega rega seti imwe chete yakagovaniswa yemakiyi nemisoro yakakosha. Kana uine misoro yemibvunzo makumi matatu nemaviri asi mapoka masere eKV chete, cache yeKV inodzikira zvakapetwa kana. Izvi zvinogara pakati pekutarisa kwakazara kwemusoro-wese (musoro wega wega wakaparadzana) uye kutarisisa kwemibvunzo yakawanda (imwe yakagovaniswa KV yemisoro yese), inotora yakawanda yekumhanya kweMQA uchichengeta mhando padyo nekunyatsotarisisa. Llama 2 70B uye akawanda akazotevera mamodheru akaitora.
Technical Insight
Hunhu hwekutarisisa hunoenderana zvakanyanya nekuve nekwakawanda kwakasiyana kwemibvunzo nzira, asi inobvumira kugovera makiyi uye kukosha. GQA inoshandisa iyi asymmetry: inochengeta misoro yemibvunzo yose asi inodzokorora musoro wega wega wakagovaniswa weKV mumibvunzo iri muboka rayo. Iko kuchengetwa kunouya pakufungidzira, uko KV cache ndiyo mutengi mukuru wekuyeuka bandwidth; Misoro mishoma yeKV inoreva dhata shoma yekuverenga pachiratidzo chakagadzirwa. Mamodheru anowanzo 'kudzidziswa' muchidimbu kuti ashandure iripo yakawanda-misoro yekutarisa kuita yeGQA imwe.
Kugona Kuteerera Muboka-Mubvunzo
Grouped-Query Attention (GQA) inzira yekumisikidza ndangariro inodiwa panguva yekugadzira zvinyorwa nekusiya misoro yemibvunzo yakati wandei igovane kiyi yakafanana nemisoro yekukosha. Inoita mamodheru makuru kukurumidza kushandira pamwe nekusaita kurasikirwa kwemhando. Grouped-Query Attention chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero. Kuti uvake kunzwisisa kwakadzama, bata Grouped-Query Attention semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Grouped-Query Attention 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.
Real-World Implementation
Llama 2 70B uye Llama 3 vachishandisa GQA kushandira mamiriro akareba ane diki KV cache.
Kuderedza ndangariro yeGPU kuti hombe yekutaura modhi ikwane pane mashoma kana akachipa accelerators
Kumhanyisa chiratidzo-ne-chiratidzo chizvarwa mukugadzira APIs uko KV-cache bandwidth ndiyo bhodhoro.
Kugonesa hombe batch saizi yekushandira vashandisi vazhinji panguva imwe chete pasina kunetesa ndangariro
Maitiro Ekuita
Grouped-Query Attention mukuita
Llama 2 70B uye Llama 3 vachishandisa GQA kushandira mamiriro akareba ane diki KV cache.
Llama 2 70B uye Llama 3 vachishandisa GQA kushandira mamiriro akareba ane diki KV cache Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Grouped-Query Attention mukuita
Kuderedza ndangariro yeGPU kuti hombe yekutaura modhi ikwane pane mashoma kana akachipa accelerators.
Kuderedza ndangariro yeGPU kuitira kuti modhi hombe yekutaura ikwane pane mashoma kana akachipa accelerators Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangudza emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Grouped-Query Attention mukuita
Kumhanyisa chiratidzo-ne-chiratidzo chizvarwa mukugadzira APIs uko KV-cache bandwidth ndiyo bhodhoro.
Kumhanyisa chizvarwa chechiratidzo-ne-chiratidzo mukugadzira APIs uko KV-cache bandwidth ndiyo bhodhoro Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Grouped-Query Attention mukuita
Kugonesa hombe batch saizi yekushandira vashandisi vazhinji panguva imwe chete pasina kunetesa ndangariro.
Kugonesa hombe batch saizi yekushandira vashandisi vazhinji panguva imwe chete pasina kunetesa ndangariro 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
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.
Implementation Roadmap
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.
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.
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.
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.