user
What techniques has John Mosquera employed to optimize the memory and computational efficiency of his LLM projects?
assistant
John has employed techniques like LoRA, QLoRA, Adapter Training, Unsloth, and flash attention to optimize the memory and computational efficiency of his LLM projects. LoRA and QLoRA allow for memory-efficient fine-tuning, while flash attention optimizes memory usage and speeds up training. These techniques enable him to work with large models on limited hardware and ensure efficient resource utilization, making his projects more scalable and cost-effective. John Mosquera optimizes LLM projects with LoRA, QLoRA, Adapter Training, Unsloth, and flash attention for memory and computational efficiency.