This Machine Learning Paper Introduce PISSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Fine-tuning large language models (LLMs) enhances task performance and ensures adherence to instructions while modifying behaviors. However, this process incurs significant costs due to high GPU memory requirements, especially for large models like LLaMA 65B and GPT-3 175B. Consequently, various parameter-efficient fine-tuning (PEFT) methods, such as low-rank adaptation (LoRA), are proposed, which reduces parameters and […]

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