What is Low-Rank Adaptation (LoRA) | explained by the inventor
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YouTubeEdward Hu
What is Low-Rank Adaptation (LoRA) | explained by the inventor
Low-rank adaptation, or LoRA, is one of the most popular methods for customizing large AI models. Why was it invented? What is it? Why should I consider using it? Find out the answers in this video from the inventor of LoRA. **Like, subscribe, and share if you find this video valuable!** Paper: https://arxiv.org/abs/2106.09685 Repo: https ...
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1. LoRA là low-ranking-adaptation. Là một kĩ thuật trong finetuning AI model. 2. LoRA là kĩ thuật phổ biến nhất hiện nay trong các phương pháp tối ưu tham số (peft) của finetuning. 3. Điểm mạnh : - Không tinh chỉnh base model. - Rất nhẹ, chi phí tối ưu để huấn luyện. - Linh hoạt, dễ tháo lắp như dạng module. Ví dụ: Llama (13B) với 16 bits - cần 26 GB memory cho model’s weight. Khi áp dụng LoRA, thay vì train với 13B tham số - ta chỉ train với khoảng 3 triệu. Do số lượng tham số cần train ít hơn
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1. LoRA là low-ranking-adaptation. Là một kĩ thuật trong finetuning AI model. 2.
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