Data Generation

Synthetic Data for Enterprise LLMs: A Four-Stage Workflow and When to Use It

Synthetic data offers enterprises a structured, scalable path to train and fine-tune LLMs when facing data access, privacy, or cost challenges. This approach involves a four-stage workflow: preparing inputs, generating examples, validating quality, and fine-tuning the model.