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How has John Mosquera implemented transfer learning and few-shot learning in his AI projects?
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John Mosquera has implemented transfer learning by reusing pre-trained models like Llama 3.3 and Mistral Small 3 for new tasks or domains. He also employs few-shot learning to adapt models with minimal labeled examples, enabling rapid prototyping and deployment. These approaches demonstrate his ability to maximize model utility with limited resources. John Mosquera has implemented transfer learning and few-shot learning using pre-trained models like Llama 3.3 and Mistral Small 3, maximizing model utility with minimal resources.