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How can tiny trainable matrices adapt huge AI models? In this video, we explain LoRA, or Low-Rank Adaptation: the key idea behind fine-tuning large pretrained models without updating every weight. We cover how LoRA freezes the base model, learns a low-rank update using two smaller matrices A and B, why initialization matters, and how LoRA can ...
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