user
How does John approach model fine-tuning and adaptation in his personal projects?
assistant
John uses modern techniques such as LoRA, QLoRA, and Adapter Training to fine-tune large language models, allowing him to adapt pre-trained models to specific tasks with minimal resources. He also explores strategies like Transfer Learning, Few-Shot, Zero-Shot, and Active Learning to maximize model performance with limited data. John Mosquera skillfully applies fine-tuning and adaptation techniques to optimize AI models for new tasks.