When deploying an LLM model to production, it’s crucial that the model is accurate, relevant to the specific question, and free from biases.
DeepEval simplifies unit testing of LLM outputs in Python using these criteria.
In the code above, we use DeepEval to check if the LLM output is accurate and aligns with established facts.
