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
177 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
177 kwe 1019 imihlahlandlela ebonisiwe. Hlunga ngethrekhi noma sesha ngenhla.
I-TensorRT ilabhulali ye-NVIDIA ehlanganisa amanethiwekhi e-neural aqeqeshiwe abe izinjini ezithuthukiswe kakhulu ezisebenza ngokushesha kakhulu kuma-NVIDIA GPU.
UbuchwephesheI-Triton Inference Server iyinkundla yomthombo ovulekile ye-NVIDIA yokuthumela nokunikeza amamodeli we-AI ekukhiqizeni ngezinga eliphezulu.
UbuchwephesheI-Ray iwuhlaka lomthombo ovulekile olwenza kube lula ukukala imithwalo yemisebenzi yePython ne-AI isuka kukhompuyutha ephathekayo iye kwiqoqo lezinkulungwane zemishini.
UbuchwephesheI-Fully Sharded Data Parallel (FSDP) iyindlela yokuqeqesha esabalalisiwe ehlukanisa amapharamitha emodeli, ama-gradient, kanye nezifunda ze-optimizer kuwo wonke ama-GPU amaningi ukuze...
UbuchwephesheI-Gradient checkpointing (ebuye ibizwe ngokuthi i-activation checkpointing) iqhinga lokonga inkumbulo elilahla ukwenzeka okuningi okumaphakathi ngesikhathi sokudlula phambili...
UbuchwephesheI-ONNX (Open Neural Network Exchange) ifomethi evamile evulekile yokumela amamodeli okufunda omshini ukuze ahambe ngokukhululeka phakathi kwezinhlaka...
UbuchwephesheI-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.
UbuchwephesheUkuhlanganisa imodeli kuhlanganisa izisindo zamanethiwekhi emizwa amabili noma ngaphezulu aqeqeshiwe abe yimodeli eyodwa - ngaphandle kokuqeqeshwa kabusha noma ukufinyelela ekuqeqeshweni kwasekuqaleni...
UbuchwephesheI-Mistral AI iyimodeli evulekile yenhlanganisela yochwepheshe ye-Mistral eletha ikhwalithi yamamodeli amakhulu ngesivinini samamodeli amancane.
UbuchwephesheAma-GPU nama-TPU yizinhlobo ezimbili zama-chip ezivelele zokuqeqesha nokusebenzisa i-AI.
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