Training large models from scratch is expensive and slow. It requires significant compute, time, and data.

Most teams don’t need that. They need a model that works well for their specific task, not a general-purpose one.

Transfer learning solves this. Instead of starting from zero, you take a model that already understands general patterns and fine-tune it for your use case.