What is Retrieval? Definition | AI Understanding

Nkọwa

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

Okwu ndị metụtara

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

Mweghachi nkenke

Oke ihe eweghachitere nke dabara na ajụjụ onye ọrụ.

RAG (Ọgbọ eweghachite-agbakwunyere)

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

Usoro nweghachi nke na-ewepụta ọtụtụ ụdị ajụjụ, na-eweghachite nsonaazụ maka nke ọ bụla, na-ejikọta ọkwa.

Ọmụmụ na-aga n'ihu

Ụzọ ọzụzụ na-eme ka ihe nlereanya nọgide na-amụta site na data ọhụrụ na-echefughị ihe ọmụma mbụ.

Na-akpakọ ihe ọmụma site na nnukwu ihe nlereanya onye nkuzi n'ime obere ụmụ akwụkwọ nlereanya.

Mụtakwuo na ntuziaka efu anyị

Retrieval Quality Music Information Retrieval Dense Passage Retrieval BM25 and Lexical Retrieval

Hụkwa

Reinforcement Learning from Human Feedback (RLHF)Reward Model Reinforcement Learning Robustness Red Teaming Safety Filter Recommendation System Scaling Law

Chọgharịa akwụkwọ nkọwa AI zuru ezu Nyochaa ntuziaka AI niile efu