Large model-fine-tuning technology: unified framework (unified Adapter-Tuning, Prefix-Tuning, LoRA) [freeze large model parameters, fine-tune the newly inserted parameter layer] - Code World

Large model-fine-tuning technology: unified framework (unified Adapter-Tuning, Prefix-Tuning, LoRA) [freeze large model parameters, fine-tune the newly inserted parameter layer]

Enterprise 2023-06-21 20:34:21 views: null

《Towards a Unified View of Parameter-Efficient Transfer Learning》

《Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models》

《Sparse Structure Search for Parameter-Efficient Tuning》

Guess you like

Origin blog.csdn.net/u013250861/article/details/131257909

Large model-fine-tuning technology: unified framework (unified Adapter-Tuning, Prefix-Tuning, LoRA) [freeze large model parameters, fine-tune the newly inserted parameter layer]

Artificial intelligence large language model fine-tuning technology: SFT, LoRA, Freeze supervised fine-tuning methods

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

LoRA, AdaLoRA, QLoRA, a review of the principle of efficient fine-tuning technology for large model parameters

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

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

LORA large model accelerates fine-tuning and training algorithms

【LLM】Financial large model scene and large model Lora fine-tuning practice

Lamini: Large language model fine-tuning framework

LLMs: LLaMA Efficient Tuning (an efficient tool that can efficiently fine-tune [full parameters/LoRA/QLoRA] mainstream large models [ChatGLM2/LLaMA2/Baichuan, etc.] [pre-training + instruction supervision fine-tuning +

[Natural Language Processing] [Large Model] LoRA and BLOOM-LORA implementation codes for fine-tuning large model methods with very low resources

NLP large model fine-tuning principle

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

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

LoRA: A Low-Rank Adaptive Fine-tuning Model for Large Models

【LLM】Prompt tuning large model fine-tuning practice

Generative AI New World | Overview of the principles of efficient fine-tuning and quantification of large model parameters

Exclusive | When to fine-tune a large language model?

Tips for using the Peft library (2): Delete and merge fine-tuning parameters [remove the base model parameters (freeze) from the model parameters after full-parameter fine-tuning, and then publish this part of the parameter module trained by yourself]

Large-scale language model fine-tuning technology - the difference and connection between Instruction and Question

Train your own Llama 2! Introduction to large model fine-tuning technology

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

With 65 billion parameters, 8 GPUs can fine-tune the parameters of the large model. The latest paper of Qiu Xipeng's team is here!

Large model fine-tuning sample construction trick

Large model LLM-fine-tuning experience sharing & summary

After fine-tuning, the large model became more forgetful.

Large model fine-tuning: a powerful tool for adapting to new tasks

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

Efficient fine-tuning technology for large models

Multimodal large model (large model foundation, fine-tuning, video understanding multimodal pre-training)

Recommended

The number of MaxKB GitHub Stars, an open source knowledge base question and answer system based on large language models, exceeded 5,000!

Ranking

Getting the basic concepts of ROS + catkin Profile

Spring Learning (2) --- Assembling Beans in the IoC Container

js to get the src attribute of the image regularly

STM32 is based on CubeIDE and HAL library basics entry study notes: Bluetooth WIFI STM32 connects to Alibaba Cloud

Short video learning - 3, pandas simple use of pivot_table

Print directory of project configuration log, output log

Understand the difference between vi and vim in Linux in 3 minutes

1 + x certificate Web front-end development HTML5 special exercises

mangodb save and insert the difference

7-1 Family tree processing (50 points) (binary tree solution)

Daily

More

2024-05-13(8)

2024-05-12(28)

2024-05-11(32)

2024-05-10(34)

2024-05-09(32)

2024-05-08(18)

2024-05-07(34)

2024-05-06(6)

2024-05-05(0)

2024-05-04(18)