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What resources has John Mosquera been using for his AI/ML projects, and how do they enhance his work?
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John Mosquera has been using a combination of local and cloud resources for his AI/ML projects. Locally, he leverages his NVIDIA GPU to train and fine-tune models, ensuring that he can work efficiently without relying solely on cloud resources.In the cloud, John uses platforms like Colab and Kaggle, which provide powerful computing resources and access to a wide range of tools and libraries. These platforms enable him to experiment with different models and datasets, optimizing performance and scalability.John also uses Jupyter notebooks for prototyping and development, allowing him to document and share his work effectively. By combining local and cloud resources, John can maximize efficiency and flexibility, ensuring that his AI/ML projects are both cost-effective and scalable. John Mosquera has been using local resources like his NVIDIA GPU and cloud platforms like Colab and Kaggle for his AI/ML projects. These resources provide powerful computing capabilities and flexibility, enabling him to experiment and optimize models effectively. His use of Jupyter notebooks further enhances his ability to document and share his work.