Overview
The Allen Institute for AI (AI2) iSeattle nonprofit research lab yakavambwa na Microsoft co-muvambi Paul Allen muna 2014. Ine basa nekuti inogadzira yakavhurika yakazara AI modhi, dhatabheti, uye maturusi sezvakanaka zveveruzhinji kwete chigadzirwa chinotungamirwa nepurofiti.
Allen Institute yeAI inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
AI2 yakavambwa muna 2014 nechinangwa che'AI chezvakanaka,' yakapihwa mari pakutanga naPaul Allen uye yakatungamirwa kwemakore nemusayendisiti wekombuta Oren Etzioni. Kusiyana nemalebhu ekutengesa, AI2 inoburitsa pachena: mapepa, kodhi, data rekudzidzisa, uye modhi uremu. Mapurojekiti ayo anozivikanwa zvakanyanya anosanganisira Semantic Scholar, yemahara yedzidzo yekutsvaga injini inoratidzira pamusoro pe200 miriyoni mapepa; AllenNLP, raibhurari inoshandiswa nevakawanda-mutauro-kugadzirisa; uye iyo OLMo (Open Mutauro Model) mhuri, iyo inoburitsa kwete chete huremu asi yakazara yekudzidziswa data uye resipi. AI2 zvakare yakaburitsa iyo Dolma dataset uye Tulu kuraira-tuned modhi. Iyo spinoffs inosanganisira AI2 Incubator. Chikumikidzo chese ndechekudhirowa, sainzi iri pachena.
Technical Insight
AI2's OLMo inocherechedzwa se 'yakavhurika zvechokwadi' modhi: padivi pezviremu zvinotakura iyo Dolma pretraining corpus (inotenderedza matatu matrillion tokens), kodhi yekudzidzisa, yepakati cheki, uye evaluation suites. Izvi zvinoita kuti vekunze vatsvagire vakwanise kubereka kudzidziswa, kuongorora chaizvo izvo data rakaumba modhi, uye kudzidza kuti kugona kunobuda sei. Mazhinji 'akavhurika-huremu' modhi anoburitsa chete huremu hwekupedzisira, saka AI2's yakazara-stack kujeka haina kujairika uye yakakosha pakudzidza kwesainzi.
Mastering Allen Institute yeAI
The Allen Institute for AI (AI2) iSeattle nonprofit research lab yakavambwa na Microsoft co-muvambi Paul Allen muna 2014. Ine basa nekuti inogadzira yakavhurika yakazara AI modhi, dhatabheti, uye maturusi sezvakanaka zveveruzhinji kwete chigadzirwa chinotungamirwa nepurofiti. Allen Institute yeAI inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, bata Allen Institute yeAI semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Allen Institute yeAI inoongorora zano revatengesi, kuvimbika kwemepu yemugwagwa, uye njodzi yekuvhara isati yaita. 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.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Panguva imwecheteyo, zviziviso zveLaunch zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows. 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
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika. 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
Vatsvagiri vanoshandisa Semantic Scholar kutsvaga uye kutora pfupiso dzakagadzirwa neAI (TLDRs) pamazana maviri emamiriyoni emapepa ezvidzidzo.
Vagadziri vanogadzira uye kudzidza mutauro-modhi yekudzidziswa vachishandisa OLMo yakaburitswa huremu, kodhi, uye Dolma dataset.
Zvikwata zveNLP zvinovaka mapaipi ekugadzirisa zvinyorwa neraibhurari yeAllenNLP yakavhurika uye zvinhu zvayo zvakagara zvadzidziswa.
Masayendisiti ekuchengetedza anoshandisa AI2's Skylight chikuva kuona kuredza zvisiri pamutemo kubva satellite uye ngarava-yekutevera data.
Maitiro Ekuita
Allen Institute yeAI mukuita
Vatsvagiri vanoshandisa Semantic Scholar kutsvaga uye kutora pfupiso dzakagadzirwa neAI (TLDRs) pamazana maviri emamiriyoni emapepa ezvidzidzo.
Vatsvagiri vanoshandisa Semantic Scholar kutsvaga uye kutora pfupiso dzakagadzirwa neAI (TLDRs) pamazana maviri emamiriyoni emapepa ezvidzidzo Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Allen Institute yeAI mukuita
Vagadziri vanogadzira uye kudzidza mutauro-modhi yekudzidziswa vachishandisa OLMo yakaburitswa huremu, kodhi, uye Dolma dataset.
Vagadziri vanogadzira uye kudzidza mutauro-modhi yekudzidziswa vachishandisa OLMo yakanyatsoburitswa huremu, kodhi, uye Dolma dhatabheti 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.
Allen Institute yeAI mukuita
Zvikwata zveNLP zvinovaka mapaipi ekugadzirisa zvinyorwa neraibhurari yeAllenNLP yakavhurika uye zvinhu zvayo zvakagara zvadzidziswa.
Zvikwata zveNLP zvinovaka mapaipi ekugadzira zvinyorwa neakavhurika-sosi AllenNLP raibhurari uye ayo akafanodzidziswa matimu 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.
Allen Institute yeAI mukuita
Masayendisiti ekuchengetedza anoshandisa AI2's Skylight chikuva kuona kuredza zvisiri pamutemo kubva satellite uye ngarava-yekutevera data.
Masayendisiti ekuchengetedza anoshandisa AI2's Skylight papuratifomu kuona kuredza zvisiri pamutemo kubva setiraiti uye ngarava-yekutevera data Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Ongorora vanopa uchishandisa ako ega mabasa uye dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.