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

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

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

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

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

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

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

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

Large model-DeltaTuning-heavy parameter formula: LoRA (Low-Rank Adaptation)

LLMs PEFT技术1：LoRA Parameter efficient fine-tuning PEFT techniques 1: LoRA Low rank Adaptation

LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS

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

ReLoRA, the successor of LoRA, is here to achieve more efficient large model training by superimposing multiple low-rank update matrices.

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

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

LORA large model accelerates fine-tuning and training algorithms

[Paper Reading Notes 77] LoRA: Low-Rank Adaptation of Large Language Models

[NLP classic paper intensive reading] LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS

Brief reading of the paper LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS

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

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 +

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

Under the overview of efficient fine-tuning of large models: DiffPruning, BitFit, LoRa, AdaLoRA, MAM Adapters, UniPELT

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

Efficient fine-tuning technology for large models

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

NLP large model fine-tuning principle

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

Popular understanding of major fine-tuning methods for large models: from Prefix Tuning, P-Tuning V1/V2 to LoRA, QLoRA

Practical tips for fine-tuning large language models with LoRA

The secret weapon for efficient development of large models: MindSpore PET, a low-parameter fine-tuning kit for large models

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