AI Benchmarks
Measure what actually matters
Faithfulness, relevancy, and hallucination scores across every major AI model — tested on real document Q&A, research, and extraction tasks.
What fraction of the AI's answer is supported by the retrieved context? High faithfulness = low hallucination risk.
Does the answer actually address the question asked? Measures semantic alignment between question and response.
Semantic similarity between the generated answer and a gold-standard expected answer. Uses transformer embeddings.
Inverse of faithfulness — the fraction of the answer that is NOT grounded in the source documents.
Benchmark reports (publishing soon)
Upload a golden Q&A dataset, run it against any model, and get faithfulness, relevancy, and BERTScore — all inside SevenLLM's evaluation service.