reg1 (RAG) Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksLarge pre-trained language models have been shown to store factual knowledge in their parameters, and achieve state-of-the-art results when fine-tuned on downstream NLP tasks. However, their ability to access and precisely manipulate knowledge is still limarxiv.org0. AbstractPretrained LLM은 사실의 지식을 매개변수에 저장하고, downstream NLP 작업에서 미.. 2024. 11. 3. 이전 1 다음
