Generate synthetic data for fine-tuning or evaluation
Anyone can create thousands of synthetic data samples in just a few minutes using our interactive UI.
Synthetic data is helpful for many reasons:
Evals: Generate data for custom evals of your task performance
Fine-tuning: Generate fine-tuning datasets
Built-in Quality Templates: Use our built-in data-gen templates like 'Jailbreak' or 'Bias' to check your system for common issues (curated evals)
Addressing Bugs / Issues: generate targeted data to reproduce a bug/issue, which can be used for training a fix, evaluating a fix, and backtesting
Prompting: Generate examples to be used for few-shot or multi-shot prompting
There are 2 portions of synthetic data in Kiln:
Synthetic Data Guide (optional): Kiln learns what great data looks like, to generate even better data for your task.
Generating Synthetic Data: build synthetic datasets for evals or fine-tuning
Last updated 9 days ago
