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.

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Tanga pano

Vashanu Mhedzisiro-yakavakirwa makosi

Kosi yega yega inosanganisira mhedzisiro yakajeka, hunyanzvi hwemepu, zviitiko zvekudzidzira, uye yakashandiswa capstone.

Musoro wenyaya

Bhurawuza nekumhanya

Svetukira munharaunda yaunofarira. Nzira yega yega ine akawanda akajeka-Chirungu magwaro.

Raibhurari yakazara

Zvese zvinotungamira

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Tekinoroji

Ruzivo Distillation

Kusarurwa kweruzivo kunodzidzisa modhi 'yemudzidzi' mudiki kutevedzera hombe, yakarurama 'mudzidzisi' modhi.

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Tekinoroji

Musanganiswa Wenyanzvi

Musanganiswa weNyanzvi (MoE) dhizaini yemhando iyo inotsemura network kuita akawanda ehunyanzvi sub-network uye inomisa mashoma chete pakuisa.

2 VerengaVerenga
Tekinoroji

Model Quantization

Model quantization inodzikisira neural network nekuchengetedza nhamba dzayo mumabhiti mashoma, saka iyo yakafanana modhi inomhanya nekukurumidza uye padiki hardware.

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Tekinoroji

Federated Learning

Kudzidza kwakabatana kunodzidzisa modhi yakagovaniswa pamidziyo yakawanda kana masangano pasina kuunganidza data ravo rakasvibira munzvimbo imwechete.

2 VerengaVerenga
Tekinoroji

FP8 uye Low-Precision Formats

FP8 ndeye 8-bit inoyangarara-point nhamba fomati inoita kuti maAI mamodheru achengete huremu uye amhanye masvomhu achishandisa chikamu chechina chendangariro yeakajairwa 32-bit manhamba.

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PagedAttention uye vLLM

PagedAttention inzira yekurangarira-yekutarisira iyo inochengeta kutarisisa kwemuenzaniso wemutauro mumabhururu madiki anogona kushandiswa zvakare pachinzvimbo chechunk hombe.

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Tekinoroji

Continuous Batching

Kuenderera mberi batching inzira yekushandira iyo inowedzera nekubvisa zvikumbiro kubva kune inomhanya batch token-ne-chiratidzo, pane kumirira batch yakazara yakagadziriswa…

2 VerengaVerenga
Tekinoroji

Kusiyanisa Kuvanzika

Kuvanzika kwakasiyana ivimbiso yemasvomhu yekuti kuongorora dataset kunoratidza maitiro anobatsira uchihwanda kana chero data remunhu mumwe chete rakabatanidzwa.

2 VerengaVerenga
Tekinoroji

Kubernetes yeML Workloads

Kubernetes ndeye yakavhurika-sosi sisitimu iyo inoronga otomatiki, zvikero, uye kudzoreredza zvirongwa zvakaiswa mumidziyo muboka remichina.

2 VerengaVerenga
Tekinoroji

Feature Stores

Chitoro chechikamu inzvimbo yepakati iyo inokombuta, inochengetedza, uye inopa mabhii ekuisa (maficha) anodyiwa nemamodhi ekudzidza muchina.

2 VerengaVerenga
Tekinoroji

Model Registries

Modhi registry ibhuku rinodzorwa neshanduro yemhando dzakadzidziswa dzemuchina, kuronda mutsara wevhezheni yega yega, metrics, uye danho rekutumira.

2 VerengaVerenga
Tekinoroji

AI muCybersecurity Operations

AI inobatsira zvikwata zvekuchengetedza kupepeta mukati memabhiriyoni ezviitiko kuona kurwiswa kwaizopotsa vanhu, uye vachiwedzera kupindura otomatiki.

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