Gịnị bụ Eserese Ọmụma? Nkọwa | AI Understanding

Nkọwa

Nhazi eserese nke ụlọ ọrụ na mmekọrịta ejiri maka ntụgharị uche ma ọ bụ iweghachite.

Okwu ndị metụtara

Nchịkọta dọkụmentị ma ọ bụ ndekọ echekwabara ejiri maka iweghachite, akpaaka nkwado, ma ọ bụ nzaghachi mgbada.

RAG (Ọgbọ eweghachite-agbakwunyere)

Usoro nke na-eweghachite ihe ọmụma dị n'èzí ma na-azụ ya n'ime ọgbọ n'oge ntinye.

Ịchọta akwụkwọ ma ọ bụ ndekọ dị mkpa sitere na isi mmalite ihe ọmụma maka ajụjụ.

Model agbakwunyere

Nlereanya pụrụ iche maka ịtụgharị data ka ọ bụrụ vectors ejiri maka nyocha ọmụmụ, nchịkọta, na iweghachite.

Kọmpụta oge ule

Mgbakọ inference agbakwunyere na-eji n'oge ọgbọ nzaghachi iji melite ogo ma ọ bụ echiche.

Nhazi index dabere na eserese maka ịchọ onye agbata obi kacha nso ngwa ngwa n'elu vector dị elu.

Mụtakwuo na ntuziaka efu anyị

AI Knowledge Management Grapheme-to-Phoneme Conversion Graph-of-Thoughts Reasoning Seldon Core and Inference Graphs

Hụkwa

Knowledge Distillation Label Smoothing Knowledge Cutoff Latency Jailbreak Large Language Model (LLM)Intent Classification Learning Rate

Chọgharịa akwụkwọ nkọwa AI zuru ezu Nyochaa ntuziaka AI niile efu