轻量化微调 Parameter-Efficient Fine-Tuning - 代码天地

轻量化微调 Parameter-Efficient Fine-Tuning

企业开发 2023-07-11 21:24:21 阅读次数: 0

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转载自blog.csdn.net/weixin_48185819/article/details/124408981

轻量化微调 Parameter-Efficient Fine-Tuning

预训练大语言模型的三种微调技术总结：fine-tuning、parameter-efficient fine-tuning和prompt-tuning

LLMs参数高效微调（PEFT） Parameter efficient fine-tuning (PEFT)

论文略读：MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Arixv 2403 | Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

模型微调fine-tuning

fine-tuning（微调）的理解

LLMs 参数高效微调技术2：软提示 Parameter efficient fine-tuning PEFT techniques 2: Soft prompts

【论文笔记】BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

Caffe fine-tuning 微调网络

LLMs指令微调 Instruction fine-tuning

Adapter Tuning：详细解读Parameter-Efficient Transfer Learning for NLP

预训练(pre-training/trained)与微调(fine-tuning)

【20】迁移学习与微调（fine-tuning）方法

OpenAI 双语文档参考 Fine-tuning 微调

翻译: 迁移学习和微调 Transfer learning & fine-tuning

LLMs对单个任务进行微调Fine-tuning on a single task

AI测试入门：什么是大模型微调（Fine-tuning）？

如何微调（Fine-tuning）大语言模型？

LLMs PEFT技术1：LoRA Parameter efficient fine-tuning PEFT techniques 1: LoRA Low rank Adaptation

[论文阅读笔记74]The Power of Scale for Parameter-Efficient Prompt Tuning

论文Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation

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

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

tensorflow slim 选择性读取加载权重，fine-tuning 迁移学习时微调

一分钟搞懂微调(fine-tuning)和prompt

如何使用OpenAI fine-tuning(微调)训练属于自己专有的ChatGPT模型？

LLMs多任务指令微调Multi-task instruction fine-tuning

翻译: 为什么需要微调大模型 Why Fine-tuning LLM

Fine-tuning

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