01
Gidauniyar AI
Fahimtar abin da AI yake, yadda tsarin ke koya, inda suka kasa, da kuma yadda ake yin hukunci da da'awar ba tare da talla ba.
Laburaren AI kyauta
Harshen AI jagororiKyauta har abada.
155 jagororin turanci a sarari, tsayayyen hanyoyin koyo, da buɗe ɗakin karatu - wanda 501(c)(3) mai zaman kanta ta gina ta yadda kowa zai iya fahimtar AI na zamani.
155Jagoran kyauta
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~2 minKowane jagora
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Fara a nan
Biyar darussa na tushen sakamako
Kowane darasi ya haɗa da tabbataccen sakamako, ƙwarewar taswira, ayyukan yi, da babban dutse da aka yi amfani da shi.
02
Mai amfani AI mai alhakin
Yi amfani da AI da kyau yayin kare sirri, bincika abubuwan da aka fitar, da kiyaye lissafin ɗan adam.
03
AI a Aiki
Yi ƙididdige shari'o'in amfani da wurin aiki, gudanar da amintattun matukan jirgi, auna ƙima, da sadar da canje-canje cikin gaskiya.
04
Manufar AI & Al'umma
Yi nazarin tsarin AI ta hanyar haƙƙoƙi, daidaito, shugabanci, aminci, da sakamakon amfanin jama'a.
05
Gina tare da AI Systems
Fahimtar ƙirar harshe, maidowa, wakilai, kimantawa, farashi, da tsare-tsaren turawa ta hanyar ƙira mai amfani.
Waƙoƙin jigo
Bincika ta hanya
Tsallaka zuwa yankin da kuke damuwa. Kowace waƙa tana da jagororin bayyanannun Ingilishi da yawa.
Muhimman abubuwaMahimman ra'ayi: yadda AI ke aiki a babban matakin.84 jagorori Harshen AILLMs, NLP, ChatGPT, faɗakarwa, da fahimtar rubutu.155 jagorori Kayayyakin AIƘirƙirar hoto, hangen nesa na kwamfuta, bidiyo, da ƙira.133 jagorori Audio AIMurya, kiɗa, kwasfan fayiloli, da audio-farko AI.117 jagorori KamfanoniBayanan bayanan OpenAI, Anthropic, Google, Meta, da ƙari.121 jagorori Aikace-aikaceYadda AI ke nunawa a cikin coding, bincike, wakilai, da rayuwar yau da kullun.111 jagorori Masana'antuAI a cikin kiwon lafiya, kuɗi, ilimi, makamashi, da ƙari.91 jagorori Na fasahaChips, daidaitawa, RAG, vectors, da kayan aikin AI.177 jagorori Al'ummaBias, keɓantawa, haƙƙin mallaka, aminci, da makomar AI.30 jagorori
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Duk jagora
155 na 1019 jagororin da aka nuna. Tace ta hanya ko bincike a sama.
Harshen AI
Kahneman-Tversky Ingantawa
Kahneman-Tversky Optimization (KTO) hanya ce ta daidaitawa wacce ke koyo daga sauƙaƙan alamun babban yatsa ko ƙasa maimakon kwatancen kwatance.
Harshen AIƘimar Samfura Mai Kyau-Tuning
Rejection Sampling Fine-Tuning (RFT) yana haifar da amsoshi da yawa na ɗan takara, yana kiyaye mafi kyawun maki kawai, kuma yana sake horar da ƙima akan waɗanda suka yi nasara.
Harshen AITsari Samfuran Kyauta
Samfuran lada (PRMs) suna ƙididdige kowane mataki na dalilin AI maimakon kawai amsar ƙarshe.
Harshen AIHaɗin-Agents
Mixture-of-Agents (MoA) wata dabara ce inda nau'ikan harsuna da yawa za su rubuta amsoshi sannan kuma samfurin tarawa ya haɗa mafi kyawun ra'ayoyinsu zuwa ingantacciyar…
Harshen AIAdaftar Layers don Canja wuri
Adaftan yadudduka ƙananan na'urori ne masu horarwa waɗanda aka saka su a cikin daskararren ƙirar da aka riga aka horar da su, suna ba ku damar daidaita shi zuwa sabbin ɗawainiya ta hanyar ɗaukaka kashi kaɗan kawai…
Harshen AIMulti-Head Latent Hankali
Multi-Head Latent Attention (MLA) wani tsarin kulawa ne, wanda aka gabatar a cikin DeepSeek-V2, wanda ke matsar da maɓalli mai ƙima-ƙimar ƙwaƙwalwar ajiya cikin ƙaramin abin da aka raba…
Harshen AIMedusa Yankewa Shugabannin
Medusa hanya ce ta zazzage-zazzage wacce ke toshe ƙarin hasashe 'kawuna' da yawa akan ƙirar harshe ta yadda zai iya tsinkayar alamomin gaba da yawa a lokaci ɗaya.
Harshen AICakuda Zurfi
Cakudar Zurfafawa (MoD) yana ba da taswira ya kashe adadin ƙididdiga daban-daban akan alamomi daban-daban, yana sarrafa alamun 'mahimmanci' kawai ta kowane Layer's…
Harshen AIMamba da Wuraren Jiha Mai Zaɓa
Mamba wani tsari ne na jeri wanda aka gina akan ƙirar sararin samaniya (SSMs) wanda ke sarrafa rubutu a cikin lokaci na layi, yana ba da madadin sauri zuwa ma'aunin ma'auni na Transformer…
Harshen AIRWKV Hankalin Litattafai
RWKV gine-gine ne wanda ke horarwa kamar Transformer amma yana gudanar da bincike kamar cibiyar sadarwa mai maimaitawa, yana ba da lokaci-lokaci, tsarar ƙwaƙwalwar ajiya akai-akai.
Harshen AITsare-tsare Hankali
Hankalin da ya rage yana sa masu canza canjin su zama mai rahusa ta hanyar barin kowace alamar ta halarci wani yanki da aka zaɓa kawai na wasu alamu maimakon duka.
Harshen AIQLoRA da 4-Bit Fine-Tuning
QLoRA wata dabara ce da ke ba ku damar daidaita ɗimbin ƙirar harshe akan GPU mabukata guda ɗaya ta hanyar adana daskararrun ƙirar a cikin rago 4 kawai a kowane nauyi.
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