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How does John apply advanced model fine-tuning techniques such as LoRA, QLoRA, Adapter Training, Unsloth, and Flash Attention?
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John utilizes advanced fine-tuning techniques like LoRA, QLoRA, and Adapter Training to adapt large language models efficiently for specific tasks. Innovations like Unsloth and Flash Attention further optimize the attention mechanisms within these models, reducing computational overhead while maintaining high performance, which is essential for deploying custom AI solutions. John Mosquera leverages these fine-tuning techniques to tailor AI models effectively for diverse applications.