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Nheyo dzeAI
Nzwisisa kuti AI chii, masisitimu anodzidza sei, kwavanokundikana, uye maitiro ekutonga zvirevo pasina hype.
Raibhurari yemahara yeAI
Basics NhungamiroKusununguka nekusingaperi.
84 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.
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.
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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
Zvese zvinotungamira
84 ye 1019 Guides showed. Filter by track or search above.
Basics
Cross-Validation
Muchinjikwa-kusimbisa inzira yekudzokorora nzira yekufungidzira kuti modhi ichagadzirisa sei kune data risingaonekwe.
BasicsPrecision uye Recall
Kurongeka uye kuyeuka ndiwo maviri anoenderana metrics ekuongorora classifiers, kunyanya kana makirasi asina kuenzana.
BasicsKaviri Descent Phenomenon
Kudzika kaviri ndiko kushamisa kwekuona kuti senge modhi inokura, kukanganisa kwebvunzo kunotanga kuipa pedyo ne'interpolation threshold' asi zvozoita nani...
BasicsNeural Tangent Kernel Theory
Iyo Neural Tangent Kernel (NTK) chishandiso chemasvomhu chinoratidza kuti isina magumo neural network inoita seyakatarwa, yakagadziriswa kernel nzira panguva…
BasicsLottery Tikiti Hypothesis
Iyo Lottery Tikiti Hypothesis inotaura kuti mukati mehombe, yakatangwa neural network inovanza diki subnetwork - 'tiketi rekuhwina' - iro, rakadzidziswa…
BasicsKuyera Mitemo yeNeural Networks
Mitemo yezviyereso maitiro eempirical anoratidza kuti kurasikirwa kweneural network kunowira kufanofungidzira paunokura modhi saizi, saizi yedataset, uye compute.
BasicsChinchilla Compute-Optimal Training
Chinchilla ndeye 2022 DeepMind ichiwana kuti mizhinji mizhinji yemitauro mikuru yakanga isina kudzidziswa zvakanyanya: kune yakamisikidzwa komputa bhajeti iwe unofanirwa kuyera paramita…
BasicsKugadziriswa Kwemubairo Muboka muRLHF
Kumisikidzwa kwemubairo weboka kunomisa mibairo yemuenzaniso mukati mechikamu chemhinduro kune imwecheteyo kukurumidza, kushandura zvibodzwa zvine ruzha kuita kudzidziswa kwakagadzikana…
BasicsWorld Models uye Akadzidza Simulators
Modhi yepasirese ndeye neural network inodzidza kufanotaura kuti nharaunda inoshanduka sei nekufamba kwenguva, ichirega AI 'ifungidzire' ramangwana mhedzisiro isati yaita.
BasicsKureba Kwekugadzirisa muKuda Kugadzirisa
Kureba kwakajairwa kunogadzirisa zvido-tuning zvinangwa kuitira kuti mamodheru arege kuhwina mvumo nekunyora mhinduro refu.
BasicsBradley-Terry Reward Modelling
Muenzaniso weBradley-Terry inzira yenhamba yezana remakore rekushandura kuenzanisa kweviri (A kurova B) kuita zvibodzwa zvenhamba.
BasicsIterative DPO uye Online Preference Tuning
Iterative DPO inodzokorodza kuenzanisa modhi yemutauro kune zvinodiwa nevanhu kana AI nekugadzira mhinduro nyowani, kudziisa, uye kugadzirisa pazviviri zvitsva chimwe nechimwe…
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