Isuzuma ni iki? Ibisobanuro | AI Understanding

Ibisobanuro

Dataset ifashwe ikoreshwa mu gupima ubuziranenge bw'icyitegererezo nyuma y'amahugurwa.

Amagambo afitanye isano

Ikizamini gisanzwe cyangwa dataset ikoreshwa mugupima no kugereranya imikorere yicyitegererezo.

Icyegeranyo cyingero zubatswe cyangwa zitubatswe zikoreshwa mumahugurwa, kwemeza, cyangwa kugerageza.

Gushiraho Kwemeza

Dataset ikoreshwa mugihe cyiterambere kugirango ihuze moderi no kwirinda gukabya.

Ukuntu icyitegererezo gikora neza kumakuru mashya, atagaragara hanze yamahugurwa.

Iboneza agaciro byashyizweho mbere yimyitozo, nkigipimo cyo kwiga, ingano yicyiciro, cyangwa ubujyakuzimu.

Amakuru yubukorikori

Ibyakozwe byakozwe muburyo bukoreshwa mukongera, kwigana, cyangwa kurinda amakuru yimyitozo yoroheje.

Wige byinshi mubuyobozi bwacu

AI Evaluation Basics LLM Evaluations Linear Probing and Frozen Feature Evaluation Mean Opinion Score Evaluation

See also

Ensemble Explainability Encoder False Negative Embedding False Positive Domain Adaptation Feature

Reba Amagambo yuzuye ya AI Shakisha ibyerekezo byose bya AI