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

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

News 2023-07-28 23:33:54 views: null

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Origin blog.csdn.net/pipisorry/article/details/130331260

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

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

【LLM】Prompt tuning large model fine-tuning practice

CVPR'2023 | Cross-modal Adaptation: A new paradigm for fine-tuning based on CLIP

Fine-tuning LLM with a single GPU

Summary of LLM model fine-tuning methods

LLM - SFT workflow fine-tuning workflow

LLM FAQ (Fine-tuning section)

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

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

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

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

LLMs instruction fine-tuning Instruction fine-tuning

LoRA fine-tuning

PEFT fine-tuning

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

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

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]

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

LangChain and LangSmith: A dual strategy for building and fine-tuning smart applications that support LLM

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

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

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

OpenAI bilingual documentation reference Fine-tuning fine-tuning

Lightweight fine-tuning Parameter-Efficient Fine-Tuning

Fine-tuning of sd and fine-tuning of lora in diffusers

Microsoft uses GPT-4 for instruction fine-tuning for the first time, and the zero-sample performance of new tasks is further improved

Preprocessing for model fine-tuning

SFT supervised fine-tuning

EMA training fine-tuning

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