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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.
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Tanga pano
Vashanu Mhedzisiro-yakavakirwa makosi
Kosi yega yega inosanganisira mhedzisiro yakajeka, hunyanzvi hwemepu, zviitiko zvekudzidzira, uye yakashandiswa capstone.
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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.
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AI Policy & Society
Ongorora AI masisitimu kuburikidza nekodzero, kuenzana, hutongi, kuchengetedzeka, uye mhedzisiro yekufarira veruzhinji.
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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
Attention Rollout uye Head Pruning
Attention rollout inzira yekutsvaga kuti ruzivo rwunofamba sei kuburikidza neTransformer's yakaturikidzana yekutarisisa maseru kutsanangura kuti ndeapi ma tokens ekuisa anokanganisa...
TekinorojiYechipiri-Odha Optimization uye Newton Nzira
Chechipiri-odha optimization inoshandisa curvature ruzivo (iyo yeHessian matrix yechipiri inotorwa) kutora nhanho dzakangwara kuenda kune hushoma, kwete kutsetseka chete.
TekinorojiRMSNorm uye Pre-Layer Normalization
RMSNorm inzvimbo yakareruka yekujairisa iyo inodzoreredza ma activation nemidzi yavo inoreva sikweya, uye pre-layer normalization nzvimbo dzinotsika pamberi peimwe neimwe…
TekinorojiSwiGLU uye Gated Activations
SwiGLU igated activation function iyo inowedzera imwe mutsara fungidziro yekupinza neiyo Swish-yakagadziriswa yechipiri fungidziro, ichiita seinodzidzika ...
TekinorojiKusvina-uye-Kunakidzwa Networks
Squeeze-and-Excitation (SE) inovharira ita kuti convolutional network idzidze huwandu hwekuremedza chimwe nechimwe chiteshi, ichichidzokorora zvichienderana nemamiriro epasirese.
TekinorojiWarmup uye Cosine Annealing Schedules
Warmup zvinyoro nyoro inokwidza mwero wekudzidza kubva padhuze ne zero usati wadzidzira, ipapo cosine annealing zvakanaka inoodza ichidzokera pasi ichitevera cosine curve.
TekinorojiCyclical Learning Rates
Mari yekudzidza yemacyclical inotenderedzazve mwero wekudzidza uchikwira nekudzika pakati pepakati nepamusoro pechisungo pane kungoora chete.
TekinorojiSharpness-Aware Minimization
Sharpness-Aware Minimization (SAM) inzira yekusimudzira isingatsvage kurasikirwa kwakaderera asi kurasikirwa kwakaderera munzvimbo yese yehuremu - furati…
TekinorojiLinear Probing uye Frozen Feature Evaluation
Linear yekuongorora bvunzo kuti yakanaka sei yakafanodzidziswa modhi yemukati inomiririra nekuomesa netiweki uye kudzidzisa chete yakapusa mutsara classifier pamusoro.
TekinorojiDenseNet uye Dense Kubatana
DenseNet ndeye convolutional network uko yese layer inogamuchira iyo mamepu eese akatangira maseru sekuisa.
TekinorojiBottleneck Architectures
Iyo bhodhoro yekuvaka inosvina data kuburikidza neyakatetepa yepakati layer isati yawedzera zvakare, ichimanikidza network kuti idzidze compact, inoshanda…
TekinorojiGradient Accumulation
Kuunganidzwa kweGradient kunoita kuti uteedzere saizi hombe yebhechi pane yakaganhurwa GPU ndangariro nekupfupisa gradients pamusoro akati wandei madiki-mabhechi usati wagadziridza…
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