Overview
Prefix tuning inzira-inoshanda yekugadzirisa modhi yemutauro wakaoma nechando nekudzidzisa seti diki yemavheji anoenderera anofanomirirwa kune yega yega kuiswa. Iyo inokutendera iwe kugadzirisa hofori mamodheru emabasa matsva uchivandudza isingasviki 1% yemaparamita.
Prefix Tuning chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero.
Deep Dive
Prefix tuning, yakaunzwa neStanford vaongorori Li naLiang muna 2021, inogadzirisa yakafanodzidziswa transformer isina kubata huremu hwayo. Panzvimbo pekugadzirisa zvakanaka ma paramita ese, inofanogadzirira kutevedzana kweanodzidziswa 'virtual tokens' (iyo prefix) kumakiyi uye kukosha pane yega yekutarisisa layer. Iyo yakaomeswa modhi inobata kune ichi chivakashure sekunge chiri mamiriro chaiwo, ichitungamira maitiro ayo akananga kune chinangwa chebasa. Nekuti chete prefix vectors anodzidzwa, unogona kuchengeta diki prefix pabasa pane yakazara modhi kopi. Izvi zvinoita kuti kushandira mabasa mazhinji kuve kwakachipa uye kudzivirira kuputika kwekuchengetedza kwekuzara-tuning. Inoita zvakanyanya zvakanaka pamabasa echizvarwa senge tafura-kune-zvinyorwa uye muchidimbu, kazhinji inoenderana neyakakwana-tuning mune yakakwirira-data zvigadziriso.
Technical Insight
Kusiyana nekukasira tuning, iyo inongowedzera mavheji pane yekuisa embedding layer, prefix tuning inopinza kudzidziswa makiyi / kukosha mavheta mune yega yega yega yetransformer yekuzvitarisa. Kudzikamisa kudzidziswa, prefix inowanzo gadzirwa nediki feed-forward network (a reparameterization trick) pane optimized zvakananga; network iyoyo inoraswa mushure mekudzidziswa, ichisiya yadzidzwa prefix matrices. Aya maprefix paramita chete ndiwo anogamuchira gradients - musana wese unogara wakaoma.
Mastering Prefix Tuning
Prefix tuning inzira-inoshanda yekugadzirisa modhi yemutauro wakaoma nechando nekudzidzisa seti diki yemavheji anoenderera anofanomirirwa kune yega yega kuiswa. Iyo inokutendera iwe kugadzirisa hofori mamodheru emabasa matsva uchivandudza isingasviki 1% yemaparamita. Prefix Tuning chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero. Kuvaka kunzwisisa kwakadzama, bata Prefix Tuning semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvaunoda, tsanangura fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Prefix Tuning dhizaini inokurudzira, 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
Kugadzirisa imwe yakaomeswa GPT-2 musana wetafura-kune-mavara chizvarwa nekudzidzisa diki prefix paWebNLG dataset.
Kushandira akawanda evatengi-chaiwo mapfupi masitaera kubva kune imwechete yakagovaniswa modhi, imwe neimwe seinochinjika prefix faira.
Kutungamidza toni yemodhi yemutauro kana kuti munhu wechatbot pasina kudzidzisazve huremu hwaro
Yakaderera-data domain adaptation, senge yemutemo kana yezvokurapa zvinyorwa zvekugadzira, uko kuzara-tuning kwaizopfuura
Maitiro Ekuita
Prefix Tuning mukuita
Kugadzirisa imwe yakaomeswa GPT-2 musana wetafura-kune-mavara chizvarwa nekudzidzisa diki prefix paWebNLG dataset.
Kugadzirisa imwe yakaomeswa GPT-2 musana wekugadzira tafura-kune-mavara nekudzidzisa diki prefix paWebNLG dhatabheti Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Prefix Tuning mukuita
Kushandira akawanda evatengi-chaiwo mapfupi masitaera kubva kune imwechete yakagovaniswa modhi, imwe neimwe seinochinjika prefix faira.
Kushandira akawanda evatengi-chaiwo mapfupi masitaera kubva kune imwechete yakagovaniswa modhi, imwe neimwe seinochinjika prefix 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.
Prefix Tuning mukuita
Kutungamidza toni yemodhi yemutauro kana kuti munhu wechatbot pasina kudzidzisazve huremu hwaro.
Kutungamira toni yemhando yemutauro kana kuti munhu wechatbot pasina kudzidzisa zvakare huremu hwematimu Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangudza emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Prefix Tuning mukuita
Yakaderera-data domain adaptation, senge yemutemo kana yezvokurapa zvinyorwa zvekugadzira, uko kuzara-tuning kwaizopfuura.
Yakaderera-dhata domain adaptation, senge yepamutemo kana yezvokurapa zvinyorwa kugadzirwa, uko kwakazara-tuning kwaizokwirisa Matimu anowanzo kuwana zvirinani zvibodzwa kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa 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.