I-AI Foundations
Qonda ukuthi iyini i-AI, ukuthi amasistimu afunda kanjani, lapho ehluleka khona, kanye nendlela yokwahlulela izimangalo ngaphandle kokukhohlisa.
Umtapo wezincwadi we-AI wamahhala
1019 imihlahlandlela yesiNgisi esicacile, izindlela zokufunda ezihlelekile, nomtapo wolwazi ovulekile — wakhiwe inhlangano engenzi nzuzo ye-501(c)(3) ezimele ukuze noma ubani aqonde i-AI yesimanje.
Qala lapha
Isifundo ngasinye sihlanganisa imiphumela esobala, amakhono afakwe kumephu, imisebenzi yokuzilolonga, kanye netshe eliyinhloko elisetshenzisiwe.
Qonda ukuthi iyini i-AI, ukuthi amasistimu afunda kanjani, lapho ehluleka khona, kanye nendlela yokwahlulela izimangalo ngaphandle kokukhohlisa.
Sebenzisa i-AI ngendlela ekhiqizayo kuyilapho uvikela ubumfihlo, ubheka imiphumela, futhi ulondoloza ukuziphendulela komuntu.
Linganisa izimo zokusetshenziswa kwendawo yokusebenza, sebenzisa abashayeli bezindiza abaphephile, kala inani, futhi uxhumane nezinguquko ngokuzibophezela.
Hlaziya izinhlelo ze-AI ngokusebenzisa amalungelo, ukulingana, ukubusa, ukuphepha, kanye nemiphumela yenzuzo yomphakathi.
Qonda amamodeli olimi, ukubuyisa, abasebenzeli, ukuhlola, izindleko, nokuvikela ukusetshenziswa ngokuklama kwesistimu okusebenzayo.
Amathrekhi esihloko
Gxumela endaweni oyikhathalelayo. Wonke amathrekhi anemihlahlandlela eminingi yesiNgisi esilula.
Umtapo wolwazi ogcwele
1019 kwe 1019 imihlahlandlela ebonisiwe. Hlunga ngethrekhi noma sesha ngenhla.
I-Tensor Cores amayunithi ehadiwe akhethekile ngaphakathi kwe-NVIDIA GPU yesimanje enza imisebenzi ye-matrix yokuphindaphinda nokuqongelela ngokushesha okukhulu.
UbuchwephesheI-High Bandwidth Memory (HBM) iyimemori estakiwe ebekwe eduze kwe-GPU eletha idatha ngokushesha kakhulu kune-RAM evamile.
UbuchwephesheI-NVLink nezixhumi ezihambisanayo ziyizixhumanisi ezinesivinini esikhulu ezivumela ama-GPU amaningi ukuthi akhulume wodwa ngokuqondile nangokushesha.
Umsindo we-AIUkudayela kwesikhulumi kuphendula umbuzo othi "ubani owakhuluma nini?" ngokuhlukanisa okurekhodiwe komsindo kube amasegimenti alebulwe ubunikazi besipikha.
Umsindo we-AIUkuqinisekiswa kwesipikha kuqinisekisa ukuthi ingabe izwi lifana nobunikazi obuthile obufunwayo, obusebenza njengephasiwedi esekelwe ezwini.
Umsindo we-AII-Voice Activity Detection (VAD) inquma, isikhathi nomzuzwana, ukuthi isignali yomsindo iqukethe inkulumo yomuntu noma ukuthula nje nomsindo.
Ulimi lwe-AIUkubeka phansi kubopha izimpendulo ze-AI kumadokhumenti athile omthombo esikhundleni sokuyivumela ukuthi iphendule ngenkumbulo yodwa, futhi izingcaphuno zibonisa kahle ukuthi yimiphi imithombo esekelwe…
Ulimi lwe-AII-LLM-as-a-jaji isebenzisa imodeli yolimi eyodwa ukuze izuze noma iqhathanise imiphumela yolunye, ukuhlola ikhwalithi okuzenzakalelayo okwakudinga izilinganiso ezingabantu.
Ulimi lwe-AII-Guardrails iwukuhlola kokuphepha okusongwe kumodeli yolimi ukuze kugcinwe okokufaka nokuphumayo kungaphakathi kwemingcele eyamukelekayo, kuvinjwe okuyingozi, ngaphandle kwesihloko...
Umsindo we-AII-Singing Voice Synthesis (SVS) i-AI eshintsha ingoma ebhaliwe kanye nezinhlamvu zamagama zibe yizwi eliculwa ngokugcwele.
Umsindo we-AII-AudioLM iwuhlaka Google locwaningo olukhiqiza umsindo wangempela — inkulumo noma umculo wepiyano — ngokuphatha umsindo njengolimi nokuwubikezela ithokheni…
Umsindo we-AII-MusicGen iyimodeli ye-AI ka-Meta ekhiqiza umculo ngencazelo yombhalo, kanye nomculo ongawucula noma owulayishayo.
Hlola okufundile ngombuzo wesihloko, bese uhlola izifundo zethu ezihlelekile noma usebenzela ukuthola isitifiketi. Wonke umhlahlandlela uhlala ukhululekile ukufunda.