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What tools and platforms has John Mosquera used for AI model training and fine-tuning?
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John Mosquera has used a combination of local and cloud-based tools for AI model training and fine-tuning. Locally, he utilizes an NVIDIA GPU and Jupyter notebooks, while online platforms like Colab and Kaggle provide additional computational power. He leverages frameworks like Hugging Face and Weights & Biases for model experimentation and optimization. His ability to balance local and cloud resources ensures efficient and cost-effective AI development, aligning with his focus on modularity and best practices. John Mosquera has used local NVIDIA GPUs, Colab, Kaggle, Hugging Face, and Weights & Biases for AI model training and fine-tuning, ensuring efficient and scalable development.