Overview
ELMo (Embeddings kubva kuMutauro Models) yaive budiriro ye2018 iyo yakapa izwi rimwe nerimwe chimiro chakaumbwa nemutsara waro, saka 'bhangi' mu 'river bank' rinosiyana ne 'bhangi' mu 'savings bank.' Yakaratidza kuchinja kubva kune static izwi vectors kuenda kumamiriro-anoziva NLP.
ELMo Contextual Embeddings chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero.
Deep Dive
ELMo, yakaunzwa neAllen Institute yevaongorori veAI (Peters et al., 2018), inogadzira zvinomiririra mazwi nekumhanyisa mutsara kuburikidza neyakadzama bidirectional LSTM mutauro modhi yakadzidziswa pabhiriyoni-shoko corpus. Kusiyana neWord2Vec kana GloVe, iyo inopa imwe yakagadziriswa vector pashoko, ELMo inokokorodza vhekita nyowani yezvese zvinoitika zvichibva pane zvakatenderedza mamiriro. Zvine hutsinye, ELMo inosanganisa ese emukati LSTM akaturikidzana kuburikidza neakadzidzwa, basa-rakananga huremu pane kushandisa chete yepamusoro layer. Matunhu epasi anowanzo kutora syntax (chikamu-che-kutaura, chimiro) ukuwo maturu epamusoro achitora semantics uye pfungwa yezwi. Kuwedzera ELMo kumamodheru aripo kwakaburitsa mibairo mikuru pamabasa matanhatu ebhenji, kusanganisira kupindura mibvunzo, kuongorora manzwiro, uye kuzivikanwa kwesangano.
Technical Insight
ELMo inorongedza maLSTM maviri: muenzaniso wemutauro wekumberi uchifanotaura izwi rinotevera uye yekumashure ichifanotaura izwi rapfuura, rimwe nerimwe pamusoro pemabhii-level CNN maiputs (saka inobata mazwi asingaonekwe). Kuti uite basa rezasi, ELMo inodonhedza ratidziro ichishandisa zviremu zvakapfava-zvakajairwa pamwe ne scalar, zvese zvakadzidzwa panguva yekumisikidza. Izvi zvinoreva kuti basa rega rega rinogona kusarudza kuti yakawanda sei syntactic kupesana nesemantic chiratidzo chainoda kubva kuchando pretrained biLM.
Kubata ELMo Contextual Embeddings
ELMo (Embeddings kubva kuMutauro Models) yaive budiriro ye2018 iyo yakapa izwi rimwe nerimwe chimiro chakaumbwa nemutsara waro, saka 'bhangi' mu 'river bank' rinosiyana ne 'bhangi' mu 'savings bank.' Yakaratidza kuchinja kubva kune static izwi vectors kuenda kumamiriro-anoziva NLP. ELMo Contextual Embeddings chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero. Kuti uvake kunzwisisa kwakadzama, bata ELMo Contextual Embeddings 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 ELMo Contextual Embeddings 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
Kuvandudza masisitimu ekuzivikanwa kwenzvimbo inofanirwa kutaura kana 'Washington' ichireva munhu, nyika, kana guta zvichibva pamashoko akatenderedza.
Kuwedzera ongororo yemanzwiro nekutora kuti 'kurwara' kunoreva kuti 'ndinonzwa kurwara' asi zvakanaka mune slang 'iyo inorwara'
Kuvandudza masisitimu ekupindura mibvunzo pane SQUAD bhenji nekudyisa mamiriro-sensitive token vectors muverengi.
Kusiyanisa manzwisisiro emazwi mushanduro yemuchina zvekuti mazwi ekuti 'chirimwa' anoturikira mamiriro akapihwa nemazvo
Maitiro Ekuita
ELMo Contextual Embeddings mukuita
Kunatsurudza masisitimu ekuzivikanwa kwesangano anofanirwa kutaura kana 'Washington' ichireva munhu, nyika, kana guta zvichienderana nemazwi akatenderedza.
Kuvandudza mazita ekuzivikanwa masisitimu anofanirwa kuudza kana 'Washington' ichireva munhu, nyika, kana guta zvichibva pamashoko akatenderedza Zvikwata zvinowanzowana mhedzisiro iri nani pazvinenge zvichitsanangudza zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
ELMo Contextual Embeddings mukuita
Kuwedzera ongororo yemanzwiro nekutora kuti 'kurwara' zvinoreva zvisina kunaka mu 'Ndinonzwa kurwara' asi zvakanaka mune slang 'iyo inorwara'.
Kuwedzera ongororo yemanzwiro nekubata kuti 'kurwara' kunoreva zvakaipa mu 'ndinonzwa kurwara' asi zvakanaka mune slang 'iyo inorwara' 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.
ELMo Contextual Embeddings mukuita
Kuvandudza masisitimu ekupindura mibvunzo paiyo SQUAD bhenji nekudyisa mamiriro-sensitive token vectors muverengi.
Kuvandudza masisitimu ekupindura mibvunzo paiyo SQUAD bhenji nekudyisa mamiriro-anonzwa-tokeni mavheji muvaverengi 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.
ELMo Contextual Embeddings mukuita
Kusiyanisa manzwisisiro emazwi mushanduro yemuchina zvekuti mazwi ekuti 'chirimwa' anoturikira mamiriro akapihwa nemazvo.
Kusiyanisa manzwi emazwi mushanduro yemuchina zvekuti mazwi ekuti 'chirimwa' anoturikira nemazvo zvakapihwa mamiriro Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura mabhii emhando kumberi, anochengeta nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuronda zvese zvinobudirira kubudirira 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.