LLMs only reach their full potential when they consistently produce safe and useful results. With a few lines of code, you can catch mistakes, monitor your AI’s performance, and understand critical failure modes so you can fix them.

If you are building generative AI, creating high quality evals is one of the most impactful things you can do. Without evals, it can be very difficult and time intensive to understand how different prompts, and model versions might affect your use case.

In the words of OpenAI’s president Greg Brockman: