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
155 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
155 kwe 1019 imihlahlandlela ebonisiwe. Hlunga ngethrekhi noma sesha ngenhla.
I-Kahneman-Tversky Optimization (i-KTO) iyindlela yokuqondanisa efunda kumalebula alula wokukhomba phezulu noma ngezithupha esikhundleni sokuqhathanisa okubhanqiwe.
Ulimi lwe-AII-Rejection Sampling Fine-Tuning (RFT) ikhiqiza izimpendulo eziningi zekhandidethi, igcina kuphela ezinamagoli amahle kakhulu, futhi iphinda iqeqeshe imodeli kulabo abawinile.
Ulimi lwe-AIAmamodeli womvuzo wenqubo (ama-PRM) athola isinyathelo ngasinye somcabango we-AI kunempendulo yokugcina kuphela.
Ulimi lwe-AII-Mixture-of-Agents (MoA) yindlela lapho amamodeli ezilimi amaningana abhala khona izimpendulo bese imodeli yesihlanganisi ihlanganisa imibono yayo engcono kakhulu ibe eyodwa ethuthukisiwe...
Ulimi lwe-AIIzendlalelo ze-adaptha zingamamojula amancane aqeqeshekayo afakwe kumodeli eqandisiwe eqeqeshwe kusengaphambili, akuvumela ukuthi uzivumelanise nemisebenzi emisha ngokubuyekeza amaphesenti ambalwa kuphela...
Ulimi lwe-AII-Multi-Head Latent Attention (MLA) iyindlela yokunaka, eyethulwe ku-DeepSeek-V2, ecindezela inqolobane yenani lokhiye olambele inkumbulo ibe yincane okwabelwana ngayo...
Ulimi lwe-AII-Medusa iyindlela yokuqagela yokuqopha ehlanganisa 'amakhanda' okuqagela okwengeziwe kumodeli yolimi ukuze iqagele amathokheni amaningi esikhathi esizayo ngesikhathi esisodwa.
Ulimi lwe-AIIngxube Yokujula (i-MoD) ivumela isiguquli ukuthi sichithe amanani ahlukene wokubala kumathokheni ahlukene, sihambisa amathokheni 'abalulekile' kuphela kusendlalelo ngasinye...
Ulimi lwe-AII-Mamba iyimodeli yokulandelana eyakhelwe kumamodeli we-state space (ama-SSM) acubungula umbhalo ngesikhathi somugqa, enikeza enye indlela esheshayo ye-Transformer's quadratic...
Ulimi lwe-AII-RWKV iwumklamo oqeqesha njenge-Transformer kodwa osebenzisa inkomba njengenethiwekhi ephindaphindiwe, enikeza isikhathi somugqa, isizukulwane senkumbulo engaguquki.
Ulimi lwe-AIUkunaka okuncane kwenza ama-Transformer ashibhe ngokuvumela ithokheni ngalinye ukuthi libheke ingxenye ekhethwe ngokucophelela yamanye amathokheni kunawo wonke.
Ulimi lwe-AII-QLoRA iwubuchule obukuvumela ukuthi ushune kahle imodeli yolimi olukhulu ku-GPU yomthengi oyedwa ngokugcina imodeli efriziwe ngamabhithi angu-4 ngesisindo.
Check what you learned with a topic quiz, then explore our structured courses or work toward a certificate. Every guide stays free to read.