What is Reinforcement Learning? Definition | AI Understanding

Maanaam

Tàggat ci siñaal neexal, di barab bi ab ndawu liggéey di jàngee jëf yuy yokk ndàmpaay ci diir bu yàgg.

Term yu ci méngoo

Jàng mu am doole ci feedback nit (RLHF)

Xeetu tàggat yaram buy jëfandikoo siñaal yi nit ñi taamu ngir jëmmal xeetu doxalin.

Benn xeetu poñ buy joxe poñ ci siñaal yiñ taamu, ñu koy faral di jëfandikoo ci pipeline RLHF yi.

Sistem losisel bu mëna seetlu, xalaat, ak jël ay matuwaay ngir mëna yegg ci mébet, di faral di jëfandikoo jumtukaay ak mémoire.

IA bu sàrtu ndayu réew

Xeetu tàggat ak yamale jeffin, fu ay xeeti génnekaay di doxalee ci ay njàngale yuñ bind.

Ab cycle iteratif boo xamni ab agent IA di seetlu, waajal, def, ak xalaat ba keroog muy matal liñu ko digal wala mu dem ba yegg ci ab condition stop.

DPO (Optimisation préférence directe)

Xeetu tàggat yaram buy gëna suqali xeetu model yi ci ñaari tànneef te soxlawul xeetu neexal bu wuute.

Nekk leen ci sunuy tegtal yu amul fayda

Deep Learning Reinforcement Learning Machine Learning Basics Supervised Learning

Xoolal itam

Red Teaming Recommendation System Retrieval Recall RAG (Retrieval-Augmented Generation)Robustness Quantization Safety Filter

Xoolal Glossaire IA bi yépp Saytu bépp tegtal IA bu amul fayda