Overview
Wayve's LINGO modhi dzinobatanidza inozvityaira ine yekufunga kwemutauro wechisikigo, saka mota inokwanisa kutsanangura zvainoona uye nei ichiita. Kubheja kuti mutauro unogona kuita kuti kutyaira uchizvimirira kudurikike, kudzidzisike, uye kwakachengeteka.
Wayve LINGO Driving Language Models inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
Wayve iLondon-based self-driving company iyo yakapayona nzira yekudzidza 'yekupedzisira-kusvika-kumagumo': panzvimbo yemitemo yakanyorwa nemaoko, neural network inodzidza kutyaira zvakananga kubva kune data kamera. LINGO-1 (2023) yakawedzera modhi yemutauro wechiratidzo inorondedzera kutyaira neChirungu chakajeka ('Ndiri kunonoka nekuti mufambi ari kuyambuka'). LINGO-2 (2024) yakaenda mberi, ichibatanidza mutauro uye chiito kuitira kuti muenzaniso ugone kutsanangura zvisarudzo uye kutungamirirwa nemirairo yezvinyorwa se'kudhonza pamusoro.' Izvi zvinoita kuti iyo inowanzo opaque 'bhokisi dema' rekutyaira network riongororwe. Thesis yaWayve yakapamhama ndeye 'Embodied AI' - kudzidza hunyanzvi hwekutyaira kubva kune data kwete kune yakadzama mepu, ichivavarira kuendesa kune dzakawanda mhando dzemotokari nemaguta pasina per-nzvimbo engineering.
Technical Insight
LINGO chimiro chechiratidzo-mutauro-chiito. Mafuremu ekamera akavharirwa mumatokeni uye anodyiswa, padivi pemavara, kuita shandurudzo yakadzidziswa kutyaira zvimedu zvakapetwa netsananguro yemunhu uye mhinduro yemubvunzo. Zvikuru, iwo muenzaniso iwoyo unoburitsa mutauro unogona zvakare kuburitsa chidhiraivho nekumhanyisa, saka tsananguro dzakadzika mugwara chairo rekutyaira pane kuti rakaparadzana mushure-iyo-yechokwadi mutauri-kuderedza njodzi yekuti mazwi nemaitiro zvinosiyana.
Mastering Wayve LINGO Driving Language Models
Wayve's LINGO modhi dzinobatanidza inozvityaira ine yekufunga kwemutauro wechisikigo, saka mota inokwanisa kutsanangura zvainoona uye nei ichiita. Kubheja kuti mutauro unogona kuita kuti kutyaira uchizvimirira kudurikike, kudzidzisike, uye kwakachengeteka. Wayve LINGO Driving Language Models inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, tora Wayve LINGO Driving Language Models semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura izvo hurongwa hunogona kuita zvakavimbika kubva kune izvo zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Wayve LINGO Driving Language Models 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
Kugadzira tsananguro yeChirungu-inotsanangura sarudzo yega yega yekutyaira panguva yekuyedzwa kwemugwagwa
Kurega mainjiniya achibvunza maitiro ezvikepe nemibvunzo yemutauro wechisikigo kugadzirisa zvisingawanzo kuitika.
Kugamuchira mavara kana mirairo yezwi senge 'turn left pamagetsi' kutungamira mota
Kugadzira data rekudzidziswa uye rekusimbisa nekubatanidza mifananidzo yekutyaira nemubvunzo-mhinduro zvirevo
Maitiro Ekuita
Wayve LINGO Driving Language Models mukuita
Kugadzira tsananguro yeChirungu-inotsanangura sarudzo yega yega yekutyaira panguva yekuyedzwa kwemugwagwa.
Kugadzira tsananguro yeChirungu-yechiRungu inotsanangura sarudzo yega yega yekutyaira panguva yekuyedzwa mumugwagwa Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Wayve LINGO Driving Language Models mukuita
Kurega mainjiniya achibvunza maitiro ezvikepe nemibvunzo yemutauro chaiwo kugadzirisa zvisingawanzo kuitika.
Kurega mainjiniya achibvunza maitiro ezvikepe nemibvunzo yemutauro wechisikigo kugadzirisa zvisingawanzo kuitika Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Wayve LINGO Driving Language Models mukuita
Kugamuchira mavara kana mirairo yezwi senge 'turn left pamagetsi' kutungamira mota.
Kugamuchira mameseji kana mirairo yezwi senge 'kutendeuka kuruboshwe pamwenje' kutungamira mota Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Wayve LINGO Driving Language Models mukuita
Kugadzira data rekudzidziswa uye rekusimbisa nekubatanidza mifananidzo yekutyaira nemubvunzo-mhinduro zvirevo.
Kugadzira yekudzidziswa uye yekusimbisa dhata nekubatanidza mifananidzo yekutyaira ine mibvunzo-mhinduro zvirevo Zvikwata zvinowanzowana mibairo iri nani kana vachinge vatsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa 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.