Uhlolojikelele
I-Liquid AI iyisakhiwo se-MIT spinout Liquid Foundation Models (LFMs) esilahla i-Transformer ejwayelekile yezakhiwo eziphefumulelwe ze-dynamical-systems. Umgomo amamodeli amancane, asheshayo, anenkumbulo asebenza kumafoni nakumadivayisi asemaphethelweni ngaphandle kokudela ikhwalithi eningi kakhulu.
I-Liquid AI kanye ne-Liquid Foundation Models iqondwa kangcono kumongo wesu, ukufinyelela okuyimodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem.
I-Deep Dive
I-Liquid AI yasungulwa ngo-2023 nguRamin Hasani, uMathias Lechner, u-Alexander Amini, noDaniela Rus, ithimba le-MIT CSAIL ngemuva 'kwenethiwekhi ye-neural liquid.' Lezo zisuka ekuhloleni i-nematode worm C. elegans, ubuchopho bayo obuncane obuyi-302-neuron bukhuthaze amanethiwekhi we-Liquid Time-constant (LTC) lapho ukuziphatha kwe-neuron ngayinye kushintsha ngokuqhubekayo ngokuhamba kwesikhathi ngezibalo ezihlukile. Amamodeli wezohwebo we-Liquid, i-Liquid Foundation Models (LFM-1B, 3B, 40B), enza lo mbono ube jikelele ngale kwama-Transformers. Isici esivelele siyinkumbulo ehlala njalo njengoba umongo ukhula, ngokungafani nama-Transformers amabhaluni enqolobane yawo anobude bokulandelana. Ngo-2024 inkampani yakhulisa i-Series A enkulu (ebikwe cishe ezigidini ezingama-250 zamadola) futhi kamuva yakhipha i-LFM2, elungiselelwe ukuthunyelwa kudivayisi kumalaptop, amafoni, nezimoto.
I-Technical Insight
Ama-Transformer agcina inqolobane yenani elingukhiye ekhula ngokulandelana ngobude bokufaka, izimo ezinde kakhulu zidla inkumbulo. Ama-LFM esikhundleni salokho asebenzisa amayunithi ekhompyutha 'awuketshezi' akhiwe kusukela ku-state-space ne-dynamical-system opharetha abacindezela ulwazi oludlule lube yisimo esiphindaphindayo sosayizi ongashintshi. Ukubala kuchazwa izibalo zesikhathi esiqhubekayo amapharamitha azo (njengezikhathi ezingaguquki) ajwayela okokufaka, okuvumela imodeli ukuthi isingathe ukulandelana okude ngenkumbulo eyisicaba kanye nokubambezeleka okungabikezelwa, okulungele ihadiwe yonqenqema olukhawulelwe yinsiza.
I-Mastering Liquid AI kanye ne-Liquid Foundation Models
I-Liquid AI iyisakhiwo se-MIT spinout Liquid Foundation Models (LFMs) esilahla i-Transformer ejwayelekile yezakhiwo eziphefumulelwe ze-dynamical-systems. Umgomo amamodeli amancane, asheshayo, anenkumbulo asebenza kumafoni nakumadivayisi asemaphethelweni ngaphandle kokudela ikhwalithi eningi kakhulu. I-Liquid AI kanye ne-Liquid Foundation Models iqondwa kangcono kumongo wesu, ukufinyelela okuyimodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem. Ukuze wakhe ukuqonda okujulile, phatha i-Liquid AI ne-Liquid Foundation Models njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-Liquid AI kanye ne-Liquid Foundation Models ahlola isu lomthengisi, ukwethembeka kwemephu yomgwaqo, kanye nobungozi bokukhiya ngaphambi kokuzibophezela. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ngesikhathi esifanayo, izimemezelo Zokuqalisa zingase zidlule ukuzinza ekusebenzeni kwangempela kokukhiqiza. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo.
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi.
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Izinxephezelo zenkampani zibumba okuzenzakalelayo kwemikhiqizo, ukuma kokuphepha, nokuvuleleka.
Izinxephezelo zenkampani zibumba okuzenzakalelayo kwemikhiqizo, ukuma kokuphepha, nokuvuleleka. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Ukusebenzisa umsizi wengxoxo onekhono ungaxhunyiwe ku-inthanethi ngokuphelele ku-smartphone ukuze kusetshenziswe ubumfihlo
Ishumeka ukuqonda kolimi lokubambezeleka okuphansi ezimotweni ngezilawuli zezwi ngaphandle kohambo oluya nokubuya lwamafu
Icubungula amadokhumenti amade kakhulu noma amalogi kukhompuyutha ephathekayo lapho inqolobane yememori ye-Transformer ingaba nkulu kakhulu
I-Powering edge robotics kanye namadivayisi e-IoT lapho amanethiwekhi oketshezi aphefumulelwe i-C. elegans aphuma phambili ekulawuleni okuqhubekayo
Amaphethini Okusebenzisa
Amamodeli we-Liquid AI kanye ne-Liquid Foundation asebenza
Ukusebenzisa umsizi wengxoxo onekhono ungaxhunyiwe ku-inthanethi ngokuphelele ku-smartphone ukuze kusetshenziswe ubumfihlo.
Ukusebenzisa umsizi wengxoxo onekhono ngokuphelele ungaxhunyiwe ku-inthanethi ku-smartphone ukuze kusetshenziswe izinto ezithinta ubumfihlo Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Amamodeli we-Liquid AI kanye ne-Liquid Foundation asebenza
Ishumeka ukuqonda kolimi lokubambezeleka okuphansi ezimotweni ngezilawuli zezwi ngaphandle kohambo oluya nokubuya lwamafu.
Ukushumeka ukuqonda kolimi lokubambezeleka okuphansi ezimotweni zokulawula izwi ngaphandle kokuya nokubuya kwamafu Amaqembu ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Amamodeli we-Liquid AI kanye ne-Liquid Foundation asebenza
Icubungula amadokhumenti amade kakhulu noma amalogi kukhompuyutha ephathekayo lapho inqolobane yememori ye-Transformer ingaba nkulu kakhulu.
Icubungula amadokhumenti amade kakhulu noma amalogi kukhompuyutha ephathekayo lapho inqolobane yenkumbulo ye-Transformer ingaba nkulu kakhulu Amathimba ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Amamodeli we-Liquid AI kanye ne-Liquid Foundation asebenza
I-Powering edge robotics kanye namadivayisi e-IoT lapho amanethiwekhi oketshezi aphefumulelwe i-C. elegans aphuma phambili ekulawuleni okuqhubekayo.
Amarobhothi anamandla kanye namadivayisi e-IoT lapho amanethiwekhi oketshezi aphefumulelwe yi-C. elegans aphuma phambili ekulawuleni okuqhubekayo Amathimba ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi elandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Izimemezelo zokwethula zingase zeqe ukuzinza ekugelezeni komsebenzi wangempela wokukhiqiza.
Izintengo ze-API noma izinguquko zenqubomgomo zingaphula ukucabanga ngobusuku obubodwa.
Ukuncika komthengisi oyedwa kukhulisa izindleko zokukhiya nokufuduka.
Ukuqalisa Umhlahlandlela
Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha.
Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.