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Ntọala AI
Ghọta ihe AI bụ, ka sistemụ si amụta, ebe ha dara, yana otu esi ekpe ikpe na-ekwu na-enweghị hype.
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1019Ntuziaka efu
9Topic tracks
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Bido ebe a
Ise outcome-based courses
Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
02
Onye ọrụ AI nwere ọrụ
Jiri AI rụọ ọrụ nke ọma ka ị na-echekwa nzuzo, na-enyocha ihe arụpụta, yana ichekwa ụgwọ ọrụ mmadụ.
03
AI na ọrụ
Nyochaa iji okwu n'ebe ọrụ, na-agba ọsọ ndị na-anya ụgbọ elu dị nchebe, tụọ uru, wee kparịta mgbanwe n'ụzọ kwesịrị ekwesị.
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Amụma AI & Society
Nyochaa sistemu AI site na ikike, nha nha nha, ọchịchị, nchekwa na nsonaazụ ọhaneze.
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Ime ụlọ na AI Systems
Ghọta ụdị asụsụ, iweghachite, ndị nnọchiteanya, nyocha, ọnụahịa, na nchebe nnyefe site na nhazi usoro.
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Ihe ndị bụ isiIsi echiche: ka AI si arụ ọrụ na ọkwa dị elu.84 ndu Asụsụ AILLMs, NLP, ChatGPT, mkpali, na nghọta ederede.155 ndu Visual AIỌgbọ onyonyo, ọhụụ kọmputa, vidiyo, na imewe.133 ndu Audio AIOlu, egwu, pọdkastị na ọdịyo-mbụ AI.117 ndu Companieslọ ọrụProfaịlụ nke OpenAI, Anthropic, Google, Meta, na ndị ọzọ.121 ndu NgwaKedu ka AI si egosipụta na nzuzo, ọchụchọ, ndị nnọchite, na ndụ kwa ụbọchị.111 ndu Ụlọ ọrụAI na ahụike, ego, agụmakwụkwọ, ike na ndị ọzọ.91 ndu Nka na ụzụChips, nlegharị anya nke ọma, RAG, vectors na akụrụngwa AI.177 ndu Ọha mmadụỌgbaghara, nzuzo, nwebisiinka, nchekwa na ọdịnihu AI.30 ndu
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Nduzi niile
1019 nke 1019 egosiputara ntuziaka. Wepụta site na egwu ma ọ bụ chọọ n'elu.
Nka na ụzụ
Ndekota data
Myirịta data na-azụ otu ụdị ngwa ngwa site n'ịmegharị ya n'ofe ọtụtụ GPU, na-eji GPU nke ọ bụla na-ahazi ibe dị iche iche nke batch data.
Nka na ụzụNlereanya na Pipeline Parallelism
Mgbe ihe nlere buru oke ibu ka ọ dabara na otu GPU, ihe nlereanya na myirịta pipeline kewara ihe nlereanya n'onwe ya n'ofe ngwaọrụ.
Nka na ụzụZeRO na Sharded Optimizers
ZeRO (Zero Redundancy Optimizer) na-ewepụ myigharị ebe nchekwa na-emebi emebi nke myirịta data site na imebi steeti njikarịcha, gradients, na ihe dị arọ n'ofe…
Nka na ụzụNlele nsochi
Nleba anya nnwale bụ omume nke ịdekọ usoro mmụta igwe ọ bụla - koodu ya, data, hyperparameters, metrik, na nsonaazụ ya - yabụ…
Nka na ụzụCI/CD maka mmụta igwe
CI/CD maka mmụta igwe na-agbatị njikọta na-aga n'ihu na pipeline nnyefe na-aga n'ihu iji kpuchie ọ bụghị naanị koodu, kamakwa data na ụdị.
Nka na ụzụMbugharị Canary na Onyunyo
Mbugharị nke Canary na onyinyo bụ atụmatụ abụọ nwere obere ihe ize ndụ maka ịhapụ ụdị ọhụrụ ma ọ bụ ọrụ na mmepụta.
Visual AINkwenye omume
Ịmata ihe omume bụ ọrụ ịkụziri kọmputa iji chọpụta ihe ndị mmadụ ma ọ bụ ihe * na-eme * na vidiyo - ịgba ọsọ, ifegharị, ịda, imeghe ọnụ ụzọ - ọ bụghị…
Visual AIVidiyo Frame Interpolation
Ntinye vidiyo na-ewepụta ọhụrụ, n'etiti okpokolo agba sitere na ndị dị adị iji mee ka vidiyo dị nro ma ọ bụ nwayọ - na-atụgharị eserese 30fps ka ọ bụrụ 60fps…
Visual AIỌtụtụ ihe nsochi
Multi-object nsuso (MOT) na-eso ọtụtụ ihe - ndị na-agafe agafe, ụgbọ ala, ndị egwuregwu - gafee okpokolo agba nke vidiyo, na-enye onye ọ bụla njirimara na-agbanwe agbanwe ka oge na-aga.
Nka na ụzụNgwa ngwa caching
Ndokwa ngwa ngwa na-ahapụ ihe atụ AI ijikwa ọrụ mgbakọ na mwepụ ọ rụrụ n'ụdị ederede ugboro ugboro kama ịhazigharị ya oge ọ bụla.
Ụlọ ọrụAI na Pathology
AI na pathology na-emetụta ọhụụ kọmputa na slide anụ ahụ digitized, na-enyere ndị na-ahụ maka ọrịa aka ịchọpụta ọrịa kansa, gụọ mkpụrụ ndụ, na ọrịa ọkwa ngwa ngwa na ndị ọzọ…
Visual AIAI na Medical Imaging
AI na onyonyo ahụike na-eji ọhụụ kọmputa gụọ ụzarị X-ray, CT scans, MRIs, ultrasounds, na mammogram, na-ahụ ihe na-adịghị mma na ibute ụzọ ngwa ngwa.
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