목록lora: low-rank adaptation of large language models 논문 요약 (1)

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[논문 요약/리뷰] LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS

LoRA: Low-Rank Adaptation of Large Language ModelsAn important paradigm of natural language processing consists of large-scale pre-training on general domain data and adaptation to particular tasks or domains. As we pre-train larger models, full fine-tuning, which retrains all model parameters, becomes learxiv.orgJournal : ICLR 2022Published Date : 2021년 6월 17일Keyword : LLM, RANK Abstract모델의 크기가..
Paper 2025. 3. 11. 19:54
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