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Parameter-Efficient Fine-Tuning - What are the benefits of parameter efficient fine-tuning?


Large language models can be fine-tuned efficiently with a minimal number of parameters utilizing parameter-efficient tuning approaches like LoRA. By doing so, training may be accomplished with little computing resources, without the requirement for expensive comprehensive fine-tuning. Models may be tailored to a wide variety of jobs because to PEFT's adaptability.