Paper Notes P-Tuning v2 Suggestive optimization equal to fine-tuning performance - Code World

Paper Notes P-Tuning v2 Suggestive optimization equal to fine-tuning performance

Enterprise 2023-07-01 12:40:25 views: null

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Origin blog.csdn.net/sinat_37574187/article/details/131415317

Paper Notes P-Tuning v2 Suggestive optimization equal to fine-tuning performance

P-Tuning v2: Prompt optimization equal to fine-tuning performance

[Paper Reading Notes 75] P-Tuning v2

P-Tuning v2 paper overview

On the overview of efficient fine-tuning of large models: Adapter Tuning, AdaMix, PET, Prefix-Tuning, Prompt Tuning, P-tuning, P-tuning v2

ChatGLM2-6B fine-tuning practice based on P-Tuning v2 | JD Cloud technical team

[Paper Reading Notes 76] GPT Understands, Too (P-tuning)

Take you hand in hand to realize the P-Tuning fine-tuning of ChatGLM2-6B

Popular understanding of major fine-tuning methods for large models: from Prefix Tuning, P-Tuning V1/V2 to LoRA, QLoRA

P-tuning paper overview

Detailed notes on fine-tuning Llama 2 using QLoRA

[Notes] paper ULMFiT - Universal Language Model Fine-tuning for Text Classification

Paper Notes: Composable Sparse Fine-Tuning for Cross-Lingual Transfer

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[Paper Reading Notes 75] P-Tuning v2

Image retrieval: layer selection and fine-tuning performance improvement verification

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Oracle Performance Tuning and Optimization

fine-tune fine-tuning Transfer learning transfer learning hands-on deep learning v2

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

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Summary of fine-tuning methods for large models: LoRA, Adapter, Prefix-tuning, P-tuning, Prompt-tuning

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Fine-tuning the Mask2Former model using MMSegmentation

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