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

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

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

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

LLMs instruction fine-tuning Instruction fine-tuning

【论文精读】InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction

Dry stuff! Detailed explanation of multi-task fine-tuning technology in MFTCoder paper

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

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

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

LaVIN—Efficient Instruction Fine-tuning for Multimodal Dialogue Models

Download [T0] instruction fine-tuning dataset

[Practice] Chatglm Fine-tuning Guidelines and Deployment (MNN)

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

Fine-tuning: In-depth analysis of the application of P-tuning v2 on large models

【Attached code】【Entry level】Multi-task classification learning

RTOS system articles - multi-task coordination and complex message design

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 +

Fine-tuning the model for the image classification task of hot dog recognition

(2) ChatGLM-6B model deployment and ptuning fine-tuning detailed tutorial

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

[Natural Language Processing] Efficient fine-tuning of large models: PEFT use cases

Fine-tuning training advertisement generation task based on ChatYuan-large-v2 language model Fine-tuning

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

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

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

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]

Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle

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

Yao Fu: How has the LLaMA model developed in the past three months? What is the core problem of instruction fine-tuning?

ChatGLM2 of LLMs: Introduction and usage of ChatGLM-Finetuning (based on DeepSpeed) (four fine-tuning methods (Freeze method/Lora method/P-Tuning method/full parameters) + single-card/multi-card training

What you should know about the large-scale model (3): How to build a multi-task LLM application

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