Overview
Zhipu AI ikambani yeTsinghua-spun Beijing kuseri kwemhuri yeGLM (General Language Model). Iyo inotungamira yeChinese yakavhurika-uye-yekutengesa modhi mugadziri, kubatanidza iyo ChatGLM mutsara ine multimodal uye agent zvigadzirwa.
Zhipu GLM Models inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
Zhipu AI (Zhipu Huazhang) akakura kubva kuTsinghua University yekutsvagisa uye akave mumwe wevakakurumbira vekuChina 'AI tiger' yekutanga. Yayo yakakosha tekinoroji ndiyo GLM, kana General Mutauro Model, yekuvaka, yakaunzwa mukutsvagisa inosanganisa autoregressive uye isina-kuzadza (autoencoding) zvinangwa. Iyo yakavhurika-sosi ChatGLM-6B kuburitswa muna 2023 yakagamuchirwa zvakanyanya nevagadziri veChinese yekumhanyisa inokwanisa mitauro miviri chatbot pane zvine mwero Hardware. Zhipu yakawedzera kuita hombe GLM-4 modhi, iyo CogVLM neCogVideoX multimodal masisitimu, macode modhi, uye mutengi wayo ChatGLM mubatsiri. Iyo kambani yakadhirowa mari huru uye, muna 2025, yakatamira kune ruzhinji runyorwa, ukuwo ichifambisa kubatanidzwa pane zveUS zvirambidzo zvekutengesa.
Technical Insight
Chinangwa chekutanga cheGLM chinobatanidza kunzwisisa uye chizvarwa nekuvhara mavara uye kudzidzisa modhi kuzadza ma blanks zvisinganzwisisiki, kusanganisa BERT-maitiro uye GPT-maitiro ekudzidza. Izvi zvinobvumira imwe modhi kubata zvese kunzwisisa uye yemahara-fomu chizvarwa. Zhipu's stack ikozvino inotenderera GLM-4 chat uye kufunga modhi, CogVLM yekunzwisisa mufananidzo, uye CogVideoX yezvinyorwa-kune-vhidhiyo, kazhinji inoburitswa ine uremu hwakavhurika kuvaka inovandudza ecosystem.
Mastering Zhipu GLM Models
Zhipu AI ikambani yeTsinghua-spun Beijing kuseri kwemhuri yeGLM (General Language Model). Iyo inotungamira yeChinese yakavhurika-uye-yekutengesa modhi mugadziri, kubatanidza iyo ChatGLM mutsara ine multimodal uye agent zvigadzirwa. Zhipu GLM Models inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, tora Zhipu GLM Models semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura mhedzisiro inodiwa, kujekesa fungidziro, uye patsanura izvo hurongwa hunogona kuita zvakavimbika kubva kune izvo zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Zhipu GLM Models zvinoongorora 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
Kumhanyisa ChatGLM munharaunda kune mitauro miviri yeChinese-Chirungu yekutsigira vatengi chatbot
Uchishandisa CogVideoX kugadzira mavhidhiyo mapfupi kubva kune zvinyorwa zvinokurudzira
Kuvaka gwaro Q&A chishandiso paGLM-4 API yemabhesi eruzivo rwebhizinesi
Kushandisa CogVLM kune caption uye kupindura mibvunzo nezvechigadzirwa mifananidzo
Maitiro Ekuita
Zhipu GLM Models mukuita
Kumhanyisa ChatGLM munharaunda kune mitauro miviri yeChinese-Chirungu yekutsigira vatengi chatbot.
Kumhanya ChatGLM munharaunda kune mitauro miviri yeChinese-Chirungu yetsigiro yevatengi chatbot Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Zhipu GLM Models mukuita
Uchishandisa CogVideoX kugadzira mavhidhiyo mapfupi kubva kune zvinyorwa zvinokurudzira.
Uchishandisa CogVideoX kugadzira mapfupi evhidhiyo zvimedu kubva kune zvinyorwa zvinokurudzira Matimu anowanzo kuwana zvirinani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Zhipu GLM Models mukuita
Kuvaka gwaro Q&A chishandiso paGLM-4 API yemabhesi eruzivo rwebhizinesi.
Kuvaka gwaro Q&A chishandiso paGLM-4 API yemabhesi eruzivo rwebhizinesi 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.
Zhipu GLM Models mukuita
Kushandisa CogVLM kune caption uye kupindura mibvunzo nezvechigadzirwa mifananidzo.
Kushandisa CogVLM kune caption uye kupindura mibvunzo pamusoro pechigadzirwa mifananidzo Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye tarisa 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.