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

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

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

[Natural Language Processing] Efficient fine-tuning of large models: PEFT use cases

Practical application of large models 10 - Detailed explanation of large model domain knowledge and parameter efficient fine-tuning (PEFT) technology, and use PEFT to train your own large models

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

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-into Attention论文解读

[Natural Language Processing] Efficient fine-tuning of large models: PEFT use cases

[Natural Language Processing] Efficient fine-tuning of large models: PEFT use cases

[Natural Language Processing] Efficient fine-tuning of large models: PEFT use cases

[Natural Language Processing] Efficient fine-tuning of large models: PEFT use cases

Efficient fine-tuning of large models - introduction to the PEFT framework

Fine-tuning: In-depth analysis of the application of P-tuning v2 on large models

Summary of three fine-tuning techniques for pre-training large language models: fine-tuning, parameter-efficient fine-tuning and prompt-tuning

Lamini: Large language model fine-tuning framework

Practical application of large models 10 - Detailed explanation of large model domain knowledge and parameter efficient fine-tuning (PEFT) technology, and use PEFT to train your own large models

Practical application of large models 10 - Detailed explanation of large model domain knowledge and parameter efficient fine-tuning (PEFT) technology, and use PEFT to train your own large models

Practical application of large models 10 - Detailed explanation of large model domain knowledge and parameter efficient fine-tuning (PEFT) technology, and use PEFT to train your own large models

Practical application of large models 10 - Detailed explanation of large model domain knowledge and parameter efficient fine-tuning (PEFT) technology, and use PEFT to train your own large models

Practical application of large models 10 - Detailed explanation of large model domain knowledge and parameter efficient fine-tuning (PEFT) technology, and use PEFT to train your own large models

Practical application of large models 10 - Detailed explanation of large model domain knowledge and parameter efficient fine-tuning (PEFT) technology, and use PEFT to train your own large models

Practical application of large models 10 - Detailed explanation of large model domain knowledge and parameter efficient fine-tuning (PEFT) technology, and use PEFT to train your own large models

(2) ChatGLM-6B model deployment and ptuning fine-tuning detailed tutorial

LLM-large model training-step (3): Instruction fine-tuning [Superviser Fine-Tuning] [Corps d'instruction chinois] [La méthode d'entraînement est la même que l'apprentissage non supervisé] [Style de corpus d'instruction : instruction + entrée + sortie]

Overview of the principles of efficient fine-tuning technology for large model parameters (2) - BitFit, Prefix Tuning, Prompt Tuning

PEFT fine-tuning

Efficient fine-tuning technology for large models

Fine-tuning training advertisement generation task based on ChatYuan-large-v2 language model Fine-tuning

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