Umtapo wezincwadi we-AI wamahhala

Ubuchwepheshe abaqondisiMahhala phakade.

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.

177Iziqondiso zamahhala

1Amathrekhi esihloko

~2 minNgomhlahlandlela

~6hIsikhathi sokufunda

Qala lapha

Ezinhlanu izifundo ezisekelwe emiphumeleni

Isifundo ngasinye sihlanganisa imiphumela esobala, amakhono afakwe kumephu, imisebenzi yokuzilolonga, kanye netshe eliyinhloko elisetshenzisiwe.

I-AI Foundations

Qonda ukuthi iyini i-AI, ukuthi amasistimu afunda kanjani, lapho ehluleka khona, kanye nendlela yokwahlulela izimangalo ngaphandle kokukhohlisa.

~4h ukuqedelaBuka inkambo

Umsebenzisi we-AI onesibophezelo

Sebenzisa i-AI ngendlela ekhiqizayo kuyilapho uvikela ubumfihlo, ubheka imiphumela, futhi ulondoloza ukuziphendulela komuntu.

~5h ukuqedelaBuka inkambo

I-AI emsebenzini

Linganisa izimo zokusetshenziswa kwendawo yokusebenza, sebenzisa abashayeli bezindiza abaphephile, kala inani, futhi uxhumane nezinguquko ngokuzibophezela.

~6h ukuqedelaBuka inkambo

Inqubomgomo ye-AI Nomphakathi

Hlaziya izinhlelo ze-AI ngokusebenzisa amalungelo, ukulingana, ukubusa, ukuphepha, kanye nemiphumela yenzuzo yomphakathi.

~6h ukuqedelaBuka inkambo

Ukwakha nge-AI Systems

Qonda amamodeli olimi, ukubuyisa, abasebenzeli, ukuhlola, izindleko, nokuvikela ukusetshenziswa ngokuklama kwesistimu okusebenzayo.

~8h ukuqedelaBuka inkambo

Amathrekhi esihloko

Phequlula ngethrekhi

Gxumela endaweni oyikhathalelayo. Wonke amathrekhi anemihlahlandlela eminingi yesiNgisi esilula.

OkuyisisekeloImiqondo eyinhloko: ukuthi i-AI isebenza kanjani ezingeni eliphezulu.84 abaqondisi Ulimi lwe-AIAma-LLM, i-NLP, i-ChatGPT, ukwaziswa, nokuqonda umbhalo.155 abaqondisi I-AI ebonakalayoUkwakhiwa kwesithombe, umbono wekhompyutha, ividiyo, kanye nomklamo.133 abaqondisi Umsindo we-AIIzwi, umculo, i-podcasting, kanye ne-AI yokuqala yomsindo.117 abaqondisi IzinkampaniAmaphrofayili we-OpenAI, Anthropic, Google, Meta, nokunye.121 abaqondisi Izinhlelo zokusebenzaIvela kanjani i-AI ekubhaleni amakhodi, usesho, ama-ejenti, nempilo yansuku zonke.111 abaqondisi IzimboniI-AI kwezokunakekelwa kwempilo, ezezimali, imfundo, amandla, nokuningi.91 abaqondisi UbuchwephesheAma-chips, ukulungisa kahle, i-RAG, ama-vector, nengqalasizinda ye-AI.177 abaqondisi UmphakathiUkuchema, ubumfihlo, i-copyright, ukuphepha, nekusasa le-AI.30 abaqondisi

Umtapo wolwazi ogcwele

Zonke iziqondiso

177 kwe 1019 imihlahlandlela ebonisiwe. Hlunga ngethrekhi noma sesha ngenhla.

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Ukuphoqa Othisha Kumamodeli Alandelanayo

Ukuphoqa kukathisha iqhinga lokuqeqesha lamamodeli alandelanayo lapho ithokheni yangempela yangaphambilini, hhayi ukuqagela kwemodeli ngokwayo, ifakwa njengokufakwayo okulandelayo.

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Ukuthatha Isampula Okuhleliwe kanye Nokuchema Kokuvezwa

Ukuchema kokuchayeka igebe elivelayo lapho imodeli eqeqeshelwe kuphela iziqalo eziphelele kufanele, ngokucabangela, imise emiphumeleni yayo engaphelele.

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Ukulahlekelwa Okugxile Kokutholwa Okungalingani

Ukulahlekelwa okugxilwe kukho kuwumsebenzi wokulahlekelwa okushintshiwe okwenza izibonelo ezilula zokunciphisa isisindo ukuze umtshina ukwazi ukugxila kokuqinile, okungajwayelekile.

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Ukwengezwa Kwesikhathi Sokuhlola

I-Test-time augmentation (TTA) isebenzisa imodeli eqeqeshiwe ezinguqulweni ezimbalwa eziguquliwe zokokufaka okufanayo kanye nezilinganiso zokuqagela.

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Isampula Elibi kanye Nesilinganiso Sokuqhathanisa Nomsindo

Ukusampula okungalungile kanye ne-Noise Contrastive Estimation (NCE) kungamaqhinga avumela amamodeli afunde kumagama amakhulu ngaphandle kokubala i-softmax egcwele ebizayo.

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I-InfoNCE kanye nezinjongo ze-SimCLR

I-InfoNCE ukulahlekelwa okuhlukile okufundisa imodeli ukudonsa amapheya afanayo ndawonye futhi ihlukanise amapheya angafani ekushumekeni isikhala.

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I-Stochastic Weight Average

I-Stochastic Weight Averaging (SWA) ithatha isilinganiso esilula sezisindo zemodeli kusuka kumaphuzu amaningana sekwephuzile ekuqeqesheni esikhundleni sokugcina okokugcina…

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I-Lobukahead ne-Lion Optimizers

I-Lookhead neBhubesi ama-twist amabili esimanje ekusebenziseni i-neural-network.

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I-Mixup ne-CutMix Augmentation

I-Mixup ne-CutMix izindlela zokwandisa idatha ezidala izibonelo zokuqeqesha ezintsha ngokuhlanganisa izithombe ezimbili namalebula azo.

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I-Online and Hard Negative Mining

Izimayini ezinzima ezingezinhle zikhetha izibonelo ezifundisayo, okunzima ukuzihlukanisa ukuziqeqesha esikhundleni sokumosha umzamo ezintweni ezilula imodeli esezivele izithola...

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Amanethiwekhi weCapsule

Amanethiwekhi we-Capsule ayisakhiwo se-neural esihlanganisa ama-neurons abe 'amaphilisi' akhipha ama-vector afaka ikhodi kokubili ukuthi isici sikhona kanye nesimo saso...

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I-Echo State Networks kanye ne-Reservoir Computing

I-reservoir computing iyindlela enqamuleli ehlakaniphile yokuqeqesha amanethiwekhi aphindelelayo: shiya 'ichibi' elikhulu, elixhumeke ngokungahleliwe lama-neurons elilungisiwe futhi isitimela kuphela...

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