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

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

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Origin blog.csdn.net/chaishen10000/article/details/131304269

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

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

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

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

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

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

【LLM】Prompt tuning large model fine-tuning practice

[Paper Reading Notes 75] P-Tuning v2

P-Tuning v2 paper overview

[Instruction fine-tuning of LLM series] Long story short, "Prompt" for instruction fine-tuning of large models

[Performance Optimization] (2) JVM tuning

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

ChatGLM server deployment fine-tuning (2)

LLM: New paradigm of Prompt-Tuning/Instruction-tuning fine-tuning

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

Go beyond traditional fine-tuning! Meta's new work VPT: Visual Prompt is here! Freeze the trunk, adjust only 1% of the parameters, and the performance has improved significantly! ...

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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Large model-DeltaTuning-incremental 03: Prompt-Tuning (P-tuning v1) [Only add a trainable parameter layer to the input layer]

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