LEARNER · GLOBAL
What is fine-tuning, and why do banks use it instead of training from scratch?
Fine-tuning means taking a pre-trained model (e.g., GPT-4) and retraining it on a smaller, domain-specific dataset (e.g., bank compliance documents) to specialize its behavior without retraining from scratch. Banks use it to adapt general AI to internal jargon, workflows, and risk rules in weeks instead of months, and at 1/100th the compute cost.
WHY IT MATTERS
Explains why risk, compliance, and ops teams can build production AI fast: you don't need to build a model from scratch; you customize an existing one. Key to why AI is accelerating across BFSI.
Source: AITechHive · 2026-10-13