Luy ñàkk tàggat yaram? Tekki | AI Understanding

Maanaam

Valër njuumte model bi ñu xayma ci diiru tàggat yaram ba noppi ñu gëna wàcci ko ci diir bi.

Term yu ci méngoo

Mébet math buy xayma njuumti yi ci diiru tàggat yaram.

Degradasioŋ performance ci diir bu gàtt ndax anam yi àdduna bi di doxee dañu wuute ak xalaati tàggat yaram yi.

Test-Time xayma

Yokkateg xayma yuñ jëfandikoo ci defar tontu ngir gëna baaxal kalite bi wala xalaat bi.

Coppite ci done yiñ dugal ci àdduna dëgg ci diir bu gàtt te loolu mën na wàññi performance model bi.

Benn valeur configuration buñu def laataa ñuy tàggat, lu ci melni tolluwaayu jàng, dayo lots, wala xóotaayu.

Jamono ji mujjee am mingi feeñ ci done yiñ tàggat ci model bi.

Nekk leen ci sunuy tegtal yu amul fayda

AI Training Pseudo-Labeling and Self-Training Focal Loss for Imbalanced Detection Triplet Loss and Metric Learning

Xoolal itam

Transformer Unsupervised Learning Transfer Learning Validation Set Top-p (Nucleus) Sampling Vector Database Top-k Sampling Vision-Language Model (VLM)

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