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exynos.base.eth
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PEFT (Parameter-Efficient Fine-Tuning) is a technique that optimizes the fine-tuning process by adjusting only a small portion of model parameters. This approach reduces memory usage and computational costs, making it faster and more efficient to adapt large language models (LLMs) for specific tasks without requiring massive resources. Reference: https://huggingface.co/docs/peft/en/index #AI #ML #LLMs #NLP
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exynos.base.eth
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Illustration by https://towardsdatascience.com/parameter-efficient-fine-tuning-peft-for-llms-a-comprehensive-introduction-e52d03117f95
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