LLM Evaluation
Benchmark foundation models across Amazon Bedrock, Azure AI Foundry, Vertex AI, and OpenAI-compatible endpoints. Evaluate response correctness, negative constraints, schema compliance, latency, and automatically build regression test suites from failures.
Enterprise LLM Model Evaluation Standards
Systematic quality scoring and prompt benchmarking across Anthropic Claude Sonnet 5.5 LLM, GPT-4o, Gemini 2.0, and open source LLMs.
Semantic Correctness & Factuality
Compare completion outputs against golden baseline answers with automated semantic similarity scoring and hallucination detection.
Safety & Jailbreak Resistance
Stress-test model guardrails against roleplay bypasses, prompt injections, and PII extraction attempts with adversarial test prompts.
Instruction Following & JSON Schemas
Verify strict compliance with schema formatting, output constraints, negative constraints, and response length limits.