What is RAG (Retrieval-Augmented Generation)? Definition | AI Understanding

Nkọwa

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

Okwu ndị metụtara

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

Kọmpụta oge ule

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

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

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

Ọnụ ọgụgụ-Oge Mgbakọ

Ọnụ ọgụgụ nke ike nhazi riri mgbe ị na-emepụta nzaghachi ọ bụla.

Mbelata ihe ọmụma

Isi ihe kachasị ọhụrụ n'oge gosipụtara na data ọzụzụ ihe nlereanya.

Mụtakwuo na ntuziaka efu anyị

AI Image Generation RAG Retrieval Quality Stochastic Weight Averaging

Hụkwa

Quantization Recall Pruning Recommendation System Prompt Injection Red Teaming Prompt Engineering Reinforcement Learning

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