ai-agents-llm-evaluation-need-to-automatically-assess-llm-outputs-for-hallu-7026e5c7

THEN Leverage Opik's Datasets and Experiments to run automated evaluations. Use built-in LLM-as-a-judge metrics (e.g., Hallucination, Moderation, Answer Relevance) or define custom metrics. Evaluations can be integrated into CI/CD with pytest.

from opik.evaluation import evaluate
results = evaluate(
    dataset=my_dataset,
    task=my_llm_task,
    metrics=[opik.evaluation.metrics.Hallucination()]
)