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Bookmark or Share- 一文搞懂Fine-tuning（大模型微调） - CSDN博客Fine-tuning 是指在一个已经训练好的模型基础上，通过使用新的数据集或任务来进一步调整模型参数的过程。通常情况下，已经训练好的模型是在大规模数据集上进行训练得到的，而 Fine-tuning 则可以使模型适应新的特定任务或数据集。
- 【AIGC】俗解读大模型微调(Fine Tuning)，包括全量微调和轻量化微调-CSDN博客Fine-Tuning（精调）是指在预训练模型的基础上，对模型进行微调，使其适应特定任务。 预训练 模型 通常在大量无标签数据上进行训练，以学习通用的语言表示。
- 微调（Fine-tuning） | OpenAI 官方帮助文档中文版微调（Fine-tuning） 微调 . 了解如何为您的应用程序定制模型。 介绍 . 通过提供以下内容，微调可让您从 API 提供的模型中获得更多收益： 比即时设计更高质量的结果; 能够训练比提示（prompt）中更多的例子; 由于更短的提示（prompt）而节省了 tokens; 更低的延迟请求
- What is Fine-Tuning? - IBMFine-tuning could be considered a subset of the broader technique of transfer learning: the practice of leveraging knowledge an existing model has already learned as the starting point for learning new tasks.. The intuition behind fine-tuning is that, essentially, it’s easier and cheaper to hone the capabilities of a pre-trained base model that has already acquired broad learnings relevant ...
- Fine-tuning (deep learning) - WikipediaIn deep learning, fine-tuning is an approach to transfer learning in which the parameters of a pre-trained neural network model are trained on new data. [1] Fine-tuning can be done on the entire neural network, or on only a subset of its layers , in which case the layers that are not being fine-tuned are "frozen" (i.e., not changed during ...
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