Part-of-Speech Tagging
Machine Learning
Techniques (like LoRA, QLoRA) adapting large models with fewer trainable parameters and resources.
Detailed Explanation
Parameter-Efficient Fine-Tuning (PEFT) involves methods such as LoRA and QLoRA that modify large pre-trained models using significantly fewer trainable parameters. This approach enables efficient adaptation to specific tasks or domains by reducing computational resources and training time, making it practical to fine-tune massive models without extensive hardware, while maintaining high performance.
Use Cases
- •Deploys large language models on edge devices for personalized assistants with minimal resource consumption.
Related Terms
Other terms in the Machine Learning category