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GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream Neural Network Enhancement with LLMs
April 2, 2024, 7:51 p.m. | Xiao Liu, Jiawei Zhang
cs.CL updates on arXiv.org arxiv.org
Abstract: This study introduces GPTA, a Large Language Model assistance training framework, that enhances the training of downstream task models via prefix prompt. By minimizing data exposure to LLM, the framework addresses the security and legal challenges of applying LLM in downstream task model training. GPTA utilizes a new synergistic training approach, optimizing the downstream models with parameter gradients and LLMs with the novel ``dialogue gradient''. The framework not only demonstrates significant improvements in model performance …
abstract arxiv assistant challenges cs.cl data framework generative language language model large language large language model legal llm llms network neural network prompt prompt tuning security study training type via
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