Large language model fine-tuning and PEFT efficient fine-tuning

News 2023-07-26 06:55:05 views: null

directory title

1 Explanation
- 1.1 Pre-training stage
- 1.2 Fine-tuning stage
2 Several fine-tuning algorithms

1 Explanation

The success of the pre-trained language model proves that we can learn latent semantic information from massive unlabeled texts without having to individually label a large amount of training data for each downstream NLP task. In addition, the success of the pre-trained language model has also created a new paradigm of NLP research, that is, firstly use a large amount of unsupervised corpus for language model pre-training ( Pre-training),

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Origin blog.csdn.net/weixin_46803857/article/details/131057631

Large language model fine-tuning and PEFT efficient fine-tuning

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Large language model fine-tuning and PEFT efficient fine-tuning

Large language model fine-tuning and PEFT efficient fine-tuning

Large language model fine-tuning and PEFT efficient fine-tuning

Large language model fine-tuning and PEFT efficient fine-tuning

Large language model fine-tuning and PEFT efficient fine-tuning

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