Complete LLM Evaluation Framework
Enterprise Testing Methodology for Production LLMs
Stop guessing if your LLM is production-ready. This framework provides a systematic approach to evaluating accuracy, safety, reliability, and cost-effectiveness across 8 critical dimensions.
Key Features:
8-dimensional evaluation framework
100+ evaluation metrics with acceptance thresholds
Automated testing scripts and prompt templates
Benchmark comparison tables (GPT-4, Claude, Llama, etc.)
Cost vs. quality optimization methodology
Statistical significance testing guidelines
Evaluation Dimensions:
- •🎯 **Accuracy & Correctness** - Factual accuracy, hallucination rate, citation quality
- •⚡ **Performance** - Latency, throughput, token efficiency
- •🛡️ **Safety & Reliability** - Toxicity, bias, refusal rates, edge case handling
- •💰 **Cost Efficiency** - Token cost, caching effectiveness, optimization strategies
- •🎨 **Output Quality** - Coherence, relevance, formatting, style consistency
- •🔧 **Technical Capabilities** - Tool use, code generation, multimodal performance
- •📏 **Compliance** - PII handling, content policy adherence, audit trail
- •🚀 **Operational Metrics** - Uptime, error rates, model drift detection
Perfect For:
AI/ML EngineersML Platform TeamsProduct ManagersData ScientistsQA EngineersAI Researchers
"This framework saved us 6 weeks of trial-and-error model selection. We tested 4 LLMs systematically and chose the winner with confidence. Our CEO loved the data-driven approach."
Dr. Emily Watson
Head of AI, Healthcare SaaS Platform
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