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prompt tuning

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Origin blog.csdn.net/Q_fairy/article/details/129447906

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

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

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

Cross-modales Prompt-Tuning

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

prompt tuning

Большая модель-DeltaTuning-incremental 03: Prompt-Tuning (P-tuning v1) [Добавить только слой обучаемых параметров к входному слою]

Visual Prompt Tuning

Cross-Modal Prompt Tuning

대형 모델의 미세 조정 방법 요약: LoRA, Adapter, Prefix-tuning, P-tuning, Prompt-tuning

Großes Modell-DeltaTuning-inkrementell 03: Prompt-Tuning (P-Tuning v1) [Füge nur eine trainierbare Parameterebene zur Eingabeebene hinzu]

Modelo grande-DeltaTuning-incremental 03: Prompt-Tuning (P-tuning v1) [Solo agregue una capa de parámetros entrenables a la capa de entrada]

Grande modelo-DeltaTuning-incremental 03: Prompt-Tuning (P-tuning v1) [Adicione apenas uma camada de parâmetro treinável à camada de entrada]

Überblick über die Prinzipien einer effizienten Feinabstimmungstechnologie für große Modellparameter (2) – BitFit, Präfix-Tuning, Prompt-Tuning

【LLM】Prompt tuning large model fine-tuning practice

In which scenarios does Prompt Tuning perform better than Fine Tuning?

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

Large model-DeltaTuning-incremental 03 : Prompt-Tuning (P-tuning v1) [Ajouter uniquement une couche de paramètres entraînables à la couche d'entrée]

Large model-DeltaTuning-incremental 03: Prompt-Tuning(P-tuning v1) [입력 레이어에 훈련 가능한 매개변수 레이어만 추가]

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

[Presentation] HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification

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

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

Tuning

Tuning

大規模モデル-DeltaTuning-incremental 03: Prompt-Tuning (P-tuning v1) [入力層にトレーニング可能なパラメーター層を追加するだけ]

[Paper & Model Explanation] Text Classification Towards Unified Prompt Tuning for Few-shot Text Classification

Can you still play like this? Use Prompt Tuning for fine-grained image retrieval!

[Paper Reading Notes 74] The Power of Scale for Parameter-Efficient Prompt Tuning

Prompt, RAG, fine-tuning, or retraining? How to choose the right way to use generative AI

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