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

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

기타 2023-12-23 17:28:02 독서 시간: null

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출처my.oschina.net/u/4299156/blog/10323910

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

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

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

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

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

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

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

Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle

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

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

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

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

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

LoRA fine-tuning stable diffusion models: principle and actual combat

[논문 읽기 노트 75] P-Tuning v2

대형 모델의 효율적인 미세 조정 개요: 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

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

Simple understanding of LoRA (Low-Rank Adaptation) in efficient fine-tuning of large model parameters

A Survey of Fine-tuning Methods for Large Models

Summary of fine-tuning techniques for large models

【ChatGLM】ChatGLM fine-tuning of large models

Efficient fine-tuning technology for large models

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

P-Tuning v2 기반의 ChatGLM2-6B 미세조정 실습 | JD Cloud 기술팀

P-Tuning v2: 성능 미세 조정과 동일한 암시적 최적화

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

LLM fine-tuning (3) | Analysis of RLHF + Reward Model + PPO technology in large models

대형 모델의 주요 미세 조정 방법에 대한 대중적인 이해: Prefix Tuning, P-Tuning V1/V2에서 LoRA, QLoRA

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

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