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

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

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

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

LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS

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

Practical tips for fine-tuning large language models with LoRA

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

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

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

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

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

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

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

Bloom&LLAMA of large models----SFT (model fine-tuning)

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

NLP large model fine-tuning principle

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

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

LoRA fine-tuning stable diffusion models: principle and actual combat

Interpretation of Lawyer LLaMA, fine-tuning of large models in Yanshen's professional field: data set construction, model training

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