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

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

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Origin blog.csdn.net/yanqianglifei/article/details/132031502

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

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

【LLM】Prompt tuning large model fine-tuning practice

LLMs instruction fine-tuning Instruction fine-tuning

LaVIN—Efficient Instruction Fine-tuning for Multimodal Dialogue Models

From instruction fine-tuning to mathematical reasoning capabilities, explore the potential of large models | The 11th issue of the large model series activities on September 14

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]

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

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

LLMs multi-task instruction fine-tuning Multi-task instruction fine-tuning

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

[LLM] self-instruct construction instruction fine-tuning data set

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

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

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 +

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

Download [T0] instruction fine-tuning dataset

LLaVA: Bringing Visual Fine-tuning to Large Models

Efficient fine-tuning of large models - introduction to the PEFT framework

Practical tips for fine-tuning large language models with LoRA

LLaMA model instruction fine-tuning byte beating multi-modal video large model Valley detailed explanation of the paper

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

Hong Kong Chinese & Soochow University released GrammarGPT, a large-scale Chinese grammar error correction model | It can achieve SOTA performance with only 1K data for instruction fine-tuning!

Master the key skills of instruction fine-tuning and optimize your model to the extreme!

Paper: Translation and Interpretation of "Instruction Tuning for Large Language Models: A Survey—A Survey of Instruction Tuning for Large Language Models"

Fine-tuning LLM with a single GPU

Summary of LLM model fine-tuning methods

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