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Posts tagged with "fine-tuning"

There are a total of 4 posts.

The Foundation of LoRA Fine-Tuning Always Starts with the Dataset

2025-11-25

The Foundation of LoRA Fine-Tuning Always Starts with the Dataset

To successfully carry out LoRA fine-tuning, preparing your dataset is key. This guide provides practical tips on image resolution, ratios, consistency, caption writing, and data quantity.

#lora #fine-tuning #flux #dataset +2
The Secret of LoRA Model Updates - Techniques of Fine-Tuning Similar to Human Memory: Forgetting and Review

2025-11-19

The Secret of LoRA Model Updates - Techniques of Fine-Tuning Similar to Human Memory: Forgetting and Review

Explore the secrets of LoRA model updates, introducing fine-tuning techniques that mimic human memory through mechanisms of forgetting and review. This post addresses effective update strategies and practical applications for LoRA-based models, offering valuable insights for AI developers and researchers.

#deep learning #lora #fine-tuning #model updates +1
Practical Experience of Fine-Tuning FLUX 1-dev 12B LoRA on DGX Spark - The Light and Dark of Low-Power, High-Efficiency Training

2025-11-19

Practical Experience of Fine-Tuning FLUX 1-dev 12B LoRA on DGX Spark - The Light and Dark of Low-Power, High-Efficiency Training

Sharing practical experience of fine-tuning the FLUX 1-dev 12B model on ARM-based DGX Spark. Detailed analysis of the learning process including 1000 Steps, 100 Epochs, OOM issues, power efficiency, and CPU bottlenecks, along with future improvement plans.

#arm #lora #fine-tuning #peft +4
The Key to Efficient AI Fine-Tuning - A Comprehensive Guide to LoRA

2025-11-19

The Key to Efficient AI Fine-Tuning - A Comprehensive Guide to LoRA

This blog post summarizes how to efficiently fine-tune using LoRA (Low-Rank Adaptation) in the era of large language models. It highlights the principles, advantages, and practical applications of the PEFT technique.

#ai #lora #fine-tuning #peft