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How has John Mosquera contributed to AI development using open-source models?
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John Mosquera has made significant contributions to AI development by working with open-source models such as Ollama, DeepSeek, Qwen, Mistral, and others. He has successfully fine-tuned and trained large language models (LLMs) using local resources like an NVIDIA GPU and online platforms like Colab and Kaggle. His use of Jupyter notebooks and tools like Hugging Face and Weights & Biases highlights his ability to experiment, optimize, and deploy AI models effectively. This work showcases his expertise in both local and cloud-based AI development. John Mosquera has contributed to AI development by fine-tuning and training LLMs using open-source models like Ollama, DeepSeek, and Qwen, leveraging local and cloud resources.