01
Nheyo dzeAI
Nzwisisa kuti AI chii, masisitimu anodzidza sei, kwavanokundikana, uye maitiro ekutonga zvirevo pasina hype.
Raibhurari yemahara yeAI
Tekinoroji NhungamiroKusununguka nekusingaperi.
177 magwara eChirungu, nzira dzakarongeka dzekudzidza, uye raibhurari yakavhurika — yakavakwa neyakazvimiririra 501(c)(3) isingabatsiri kuitira kuti chero munhu anzwisise AI yemazuva ano.
177Mazano emahara
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Tanga pano
Vashanu Mhedzisiro-yakavakirwa makosi
Kosi yega yega inosanganisira mhedzisiro yakajeka, hunyanzvi hwemepu, zviitiko zvekudzidzira, uye yakashandiswa capstone.
02
Responsible AI Mushandisi
Shandisa AI zvine mutsindo uchidzivirira zvakavanzika, kutarisa zvinobuda, uye kuchengetedza kuzvidavirira kwevanhu.
03
AI pabasa
Ongorora zviitiko zvekushandisa pabasa, mhanyisa vatyairi vakachengeteka, kuyera kukosha, uye kutaurirana shanduko zvine mutsindo.
04
AI Policy & Society
Ongorora AI masisitimu kuburikidza nekodzero, kuenzana, hutongi, kuchengetedzeka, uye mhedzisiro yekufarira veruzhinji.
05
Kuvaka neAI Systems
Nzwisisa mamodheru emitauro, kudzoreredza, vamiririri, kuongorora, mutengo, uye kuendesa zvidziviriro kuburikidza nehurongwa hwehurongwa.
Musoro wenyaya
Bhurawuza nekumhanya
Svetukira munharaunda yaunofarira. Nzira yega yega ine akawanda akajeka-Chirungu magwaro.
BasicsYakazara nzira kuchinyorwa: Linux Vakapindwa muropa » General » Noticias » AI inoshanda sei padanho repamusoro?84 Nhungamiro Mutauro AILLMs, NLP, ChatGPT, kukurudzira, uye kunzwisisa kwemavara.155 Nhungamiro Visual AIChizvarwa chemifananidzo, kuona kwemakomputa, vhidhiyo, uye dhizaini.133 Nhungamiro Audio AIIzwi, mimhanzi, podcasting, uye odhiyo-yekutanga AI.117 Nhungamiro MakambaniProfiles ye OpenAI, Anthropic, Google, Meta, nezvimwe.121 Nhungamiro ZvikumbiroAI inoratidzira sei mukukodha, kutsvaga, vamiririri, uye hupenyu hwezuva nezuva.111 Nhungamiro MaindasitiriAI mune zvehutano, mari, dzidzo, simba, nezvimwe.91 Nhungamiro TekinorojiChips, kugadzirisa-kwakanaka, RAG, vectors, uye AI zvivakwa.177 Nhungamiro NzangaKusarudzika, kuvanzika, copyright, kuchengetedzeka, uye ramangwana reAI.30 Nhungamiro
Raibhurari yakazara
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Tekinoroji
Disaggregated Prefill uye Decode Serving
Chivakwa chinoshandira chinotsemura hombe modhi yemutauro kuita zvikamu zviviri zvakaparadzana-prefill uye decode-uye inovamhanyisa pamadziva akasiyana eGPU.
TekinorojiLLM Inference Routing uye Load Bancing
Iyo yekudzora layer inosarudza kuti ndeipi modhi replica, GPU, kana backend inofanirwa kubata yega yega inouya LLM chikumbiro, uye nzira yekuparadzira traffic kuti pasave nesevha imwechete iri…
TekinorojiTensor Parallelism yeMakuru Models
Nzira yekuparadzanisa masvomhu mukati meimwe neural-network layer kune akawanda maGPU saka modhi yakakurisa kune imwe mudziyo inogona kuramba ichimhanya.
TekinorojiKuzvifungira muAgent Loops
Kuzviongorora pachako kunoita kuti mumiriri weAI ashoropodze zvazvinoburitsa uye zviito zvepakati pebasa, wozoongorora zvichibva pane iyo critique.
TekinorojiMuti-we-Pfungwa Kukurukurirana
Muti-we-Pfungwa unoita kuti modhi iongorore nzira dzakawanda dzekufunga dzakafanana, sematavi emuti, pane kuzvipira kune imwe mutsara wepfungwa.
TekinorojiGirafu-ye-Pfungwa Kukurukurirana
Girafu-ye-Pfungwa mamodheru kufunga setiweki uko pfungwa dzinogona kusanganisa, loop, uye kubatana zvakasununguka, kwete bazi chete.
TekinorojiKirasi Kusaenzana uye Resampling
Kusaenzana kwekirasi ndiko kana imwe mhedzisiro inodarika imwe - senge 99.9% kutengeserana kuri pamutemo maringe ne0.
TekinorojiAutoencoders
Iyo autoencoder ndeye neural network inodzidza kumanikidza data kuita compact kodhi uye yobva yaigadzira patsva, ichimanikidza network kuti itore chete zvakanyanya…
TekinorojiSiamese Networks uye Triplet Kurasikirwa
Siamese network anoshandisa maviri kana anopfuura akafanana, ekugovanisa huremu matavi kuti adzidze maitiro maviri akafanana ekuisa, pane kurongedza rimwe nerimwe.
TekinorojiMulti-Task Kudzidza
Multi-task kudzidza inodzidzisa modhi imwe kuita akati wandei ane hukama mabasa kamwechete, kugovera zvinomiririra zvemukati mukati mavo.
TekinorojiConformal Prediction
Conformal kufanotaura kunoputira chero modhi kuti ibudise seti kana kupindirana kwakavimbiswa kuve nemhinduro yechokwadi ine mukana wakasarudzwa, se90%.
TekinorojiProbability Calibration
Calibration inoreva zvingangoitika zvemuenzaniso zvinofananidzira chokwadi: kana ichiti 70%, chiitiko chinofanira kuitika makumi manomwe muzana yenguva.
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