Kọ́ ẹ̀kọ́Ìròyìn Irinṣẹ́Iṣẹ́Iṣẹ́ wa

AI Gilosari Igba

Kí ni Ẹkọ ti ko ni abojuto?

Itumọ

Awọn ilana kikọ lati data ti ko ni aami laisi awọn abajade ibi-afẹde ti o fojuhan.

Ṣawakiri ni kikun AI Gilosari Ṣawari gbogbo awọn itọsọna AI ọfẹ

Ẹkọ IlọsiwajuAwọn isunmọ ikẹkọ ti o jẹ ki awoṣe jẹ ki ẹkọ lati inu data tuntun laisi gbagbe imọ iṣaaju.Ifitonileti dataIlana yiyan awọn afi tabi awọn abajade ibi-afẹde si data aise fun ikẹkọ abojuto.Ẹ̀kọ́ Ẹ̀rọ (ML)Awọn ọna ti o gba awọn ọna ṣiṣe laaye lati kọ ẹkọ awọn ilana lati data ati ilọsiwaju ni akoko pupọ.Ẹkọ Abojuto Ara-ẹniKọ ẹkọ awọn aṣoju lati data ti ko ni aami nipasẹ sisọ asọtẹlẹ boju-boju tabi awọn ẹya ti a yipada.Algorithmic IrẹjẹAiṣododo eleto ni awọn abajade awoṣe ti o ṣẹlẹ nipasẹ data skewed, awọn arosinu, tabi awọn yiyan awoṣe.Ni-Context LearningAgbara awoṣe lati tẹle awọn ilana lati awọn apẹẹrẹ ti a pese taara ni itọka naa.

Kọ ẹkọ diẹ sii ninu awọn itọsọna ọfẹ wa

Deep Learning Reinforcement Learning Machine Learning Basics Supervised Learning

Wo tun

Training Loss Validation Set Transformer Vector Database Transfer Learning Vision-Language Model (VLM)Top-p (Nucleus) Sampling Weak Supervision