What is Self-Play? Definition | AI Understanding

Itumọ

Eto ikẹkọ nibiti awoṣe ṣe ilọsiwaju nipasẹ ṣiṣẹda data nipasẹ awọn ibaraenisepo tabi awọn idije pẹlu awọn ẹda ti ararẹ.

Awọn ofin ti o jọmọ

Ibasepo ti o ni agbara ti n fihan bi iṣẹ ṣe n dara si pẹlu iwọn awoṣe, data, tabi iṣiro.

Ẹkọ Abojuto Ara-ẹni

Kọ ẹkọ awọn aṣoju lati data ti ko ni aami nipasẹ sisọ asọtẹlẹ boju-boju tabi awọn ẹya ti a yipada.

Awọn data ti a ṣe ipilẹṣẹ lainidii ti a lo lati pọ si, ṣe adaṣe, tabi daabobo data ikẹkọ ifura.

Itankalẹ afẹyinti

Algorithm ikẹkọ mojuto ti o ṣe imudojuiwọn awọn iwọn awoṣe nipasẹ didin awọn aṣiṣe asọtẹlẹ sẹhin nipasẹ nẹtiwọọki.

Ẹkọ Ilọsiwaju

Awọn isunmọ ikẹkọ ti o jẹ ki awoṣe jẹ ki ẹkọ lati inu data tuntun laisi gbagbe imọ iṣaaju.

Augmentation data

Awọn ilana ti o ṣẹda awọn apẹẹrẹ ikẹkọ ti a tunṣe lati mu ilọsiwaju gbogbogbo awoṣe.

Kọ ẹkọ diẹ sii ninu awọn itọsọna ọfẹ wa

BYOL and Non-Contrastive Self-Supervision Pseudo-Labeling and Self-Training Self-Consistency Decoding Toolformer and Self-Taught Tool Use

Wo tun

Post-training RAG-Fusion Mid-training Multi-Query Retrieval Watermarking Parent-Document Retrieval Citations Beam Search

Ṣawakiri ni kikun AI Gilosari Ṣawari gbogbo awọn itọsọna AI ọfẹ