Kọ́ ẹ̀kọ́Ìròyìn Irinṣẹ́Iṣẹ́Iṣẹ́ wa

AI Gilosari Igba

Kí ni Agbara?

Itumọ

Agbara awoṣe lati ṣetọju iṣẹ ṣiṣe labẹ ariwo, awọn iyipada, tabi awọn igbewọle ọta.

Ṣawakiri ni kikun AI Gilosari Ṣawari gbogbo awọn itọsọna AI ọfẹ

Ìtẹ̀síwájú Ẹgbẹ́ PupaWahala-idanwo eto AI kan pẹlu awọn itọsi ọta lati ṣafihan awọn ikuna ati awọn eewu.AṣepariIdanwo idiwon tabi data ti a lo lati ṣe iwọn ati ṣe afiwe iṣẹ awoṣe.Data fiseeteIyipada ni data igbewọle gidi-aye lori akoko ti o le dinku iṣẹ ṣiṣe awoṣe.Awoṣe ItankaleApẹrẹ ipilẹṣẹ ti o kọ ẹkọ lati yi ariwo pada lati ṣajọpọ awọn aworan, ohun, tabi akoonu miiran.AkopọApapọ awọn asọtẹlẹ lati awọn awoṣe pupọ lati mu ilọsiwaju si agbara tabi deede.GAN (Nẹtiwọọki Adversarial Generative)A generative setup ibi ti a monomono ati discriminator reluwe lodi si kọọkan miiran.

Kọ ẹkọ diẹ sii ninu awọn itọsọna ọfẹ wa

Adversarial Examples and Robustness ImageNet-C and Common-Corruption Robustness

Wo tun

Reward Model Safety Filter Retrieval Scaling Law Reinforcement Learning from Human Feedback (RLHF)Semantic Search Reinforcement Learning Self-Supervised Learning