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LoRA, or Low-Rank Adaptation, introduces a revolutionary method to fine-tune Large Language Models (LLMs) like GPT-3 and BERT, enhancing efficiency in processing, energy consumption, and accessibility for advanced NLP tasks.FeaturesReduced Computational Resources: LoRA significantly lowers the hardware requirements by using a low-rank representation during adaptation, cutting down on memory and processing needs.Faster Adaptation: By focusing adaptation on a smaller model representation, LoRA dramatically speeds up the fine-tuning process, allowing for quicker iterations and deployments.Lower E
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