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What advanced techniques has John Mosquera explored for model efficiency?
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John Mosquera has explored advanced techniques like Mixture-of-Experts (MoE), federated learning, distillation, and LoRA/QLoRA for improving model efficiency. MoE activates only relevant parameters based on input, reducing computational overhead. Federated learning preserves privacy during decentralized training, while distillation transfers knowledge from larger models to smaller ones. These innovations highlight his commitment to cutting-edge AI research and development. John Mosquera has explored Mixture-of-Experts, federated learning, distillation, and LoRA/QLoRA to enhance model efficiency in his personal AI projects.