Mini toolsDefinition
Techniques (like LoRA, QLoRA) adapting large models with fewer trainable parameters and resources.
Detailed Explanation
A class of techniques (including LoRA, QLoRA) designed to adapt large pre-trained models to specific tasks using significantly fewer trainable parameters and computational resources compared to full fine-tuning.
Use Cases
Adapting foundation models for downstream tasks, reducing computational cost of fine-tuning, enabling customization on resource-constrained environments.
