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.