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Efficient and Accessible Model Building
Building models under 10 megabytes that run significantly faster, do not require extensive compute power, and can outperform larger models like GPT-4 with minimal task-specific data is emerging as a promising workflow of the future. The focus is on improving this process to be more user-friendly for individuals without a deep machine learning background.