Summary of LLM model fine-tuning methods - Code World

Summary of LLM model fine-tuning methods

Enterprise 2023-07-12 03:37:21 views: null

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Origin blog.csdn.net/dzysunshine/article/details/131590701

Summary of LLM model fine-tuning methods

【LLM】Prompt tuning large model fine-tuning practice

Large model LLM-fine-tuning experience sharing & summary

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

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

【CS324】LLM (large model capabilities, data, architecture, distributed training, fine-tuning, etc.)

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

Common techniques in LLM large language model training: fine-tuning and embedding

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

Preprocessing for model fine-tuning

ChatGLM-6B large model fine-tuning practical summary

Summary of hardware requirements for Llama-2 inference and fine-tuning: RTX 3080 can fine-tune the smallest model

Fine-tuning LLM with a single GPU

LLM - SFT workflow fine-tuning workflow

LLM FAQ (Fine-tuning section)

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

A Survey of Fine-tuning Methods for Large Models

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Fine-tuning a pretrained NLP model

Fine-tuning an image classification model with MMPreTrain

Summary of fine-tuning techniques for large models

LLM-Large Model Training-Step (3): Instruction fine-tuning [Superviser Fine-Tuning] [Chinese instruction corpus] [Training method is the same as unsupervised learning] [Instruction corpus style: instruction+input+output]

Large Model (LLM) Summary

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

How to reduce model cost? Platypus: Fast, cheap and powerful LLM that beats the competition with only one GPU and 5 hours of LLaMA2 fine-tuning

[NLP] LLM efficient fine-tuning (PEFT)--LoRA

QLoRA: Efficient fine-tuning strategies and practices for quantitative LLM

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

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