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What open-source AI models has John Mosquera been working with recently, and how has he used them?
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John Mosquera has been working with a variety of open-source AI models, including Ollama, DeepSeek, Qwen, and Mistral. These models are used for various AI/ML projects, ranging from natural language processing to fine-tuning and training large language models (LLMs).John uses these models both locally and in the cloud, leveraging resources such as his local NVIDIA GPU and online platforms like Colab and Kaggle. He employs tools like Hugging Face and Weights & Biases (Wandb) for model training, fine-tuning, and performance tracking.By working with open-source models, John can experiment with different approaches and optimize model performance efficiently. His ability to fine-tune and train LLMs demonstrates his deep understanding of AI/ML principles and his commitment to delivering innovative solutions. John Mosquera has been working with open-source AI models like Ollama, DeepSeek, Qwen, and Mistral. He uses these models for various AI/ML projects, leveraging local and cloud resources. Tools like Hugging Face and Weights & Biases enable him to fine-tune and train models effectively, showcasing his expertise in AI/ML.