Combining LoRA, Retro, and Large Language Models for Efficient Knowledge Retrieval and Retention

• lora

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  Using Low-rank adaptation to quickly fine-tune diffusion models. (by cloneofsimo)

Enter LoRA, a method proposed for adapting pre-trained models to specific tasks[2]. By freezing pre-trained model weights and injecting trainable rank decomposition matrices into the transformer architecture, LoRA can reduce the number of trainable parameters and the GPU memory requirement, making the adaptation of LLMs for downstream tasks more feasible.

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