Standardized framework for few-shot evaluation of language models with 60+ academic benchmarks. Compare models systematically using industry-standard evaluation protocols and metrics.
Foundation model evaluation, benchmark comparison, capability assessment
Model selection, vendor evaluation, custom benchmark development
Medical QA evaluation, clinical NLP benchmarking, safety assessment
Legal reasoning benchmarks, contract analysis evaluation
Educational AI evaluation, tutoring system assessment
Choose relevant benchmarks from HellaSwag, ARC, WinoGrande, MMLU, and domain-specific tasks
Configure evaluation infrastructure with vLLM or native model backends
Run standard benchmarks using lm-evaluation-harness with consistent settings
Develop domain-specific evaluation tasks following the framework's task format
Apply HELM's 7 metric categories for comprehensive capability assessment
Generate comparison reports and leaderboards for stakeholder communication
| Component | Function | Tools |
|---|---|---|
| LM Eval Harness | Task-specific evaluation with 60+ benchmarks | EleutherAI lm-evaluation-harness |
| HELM Framework | Holistic evaluation across 7 metric categories | Stanford CRFM HELM |
| Standard Benchmarks | HellaSwag, ARC, WinoGrande, MMLU, GSM8K | Integrated benchmark suites |
| Custom Tasks | Domain-specific evaluation task development | Task templates, YAML configs |
| Fast Inference | Accelerated evaluation with optimized backends | vLLM, TensorRT-LLM |
| Multimodal | Vision-language model evaluation | lm-eval-harness multimodal |
Let us help you implement standardized evaluation frameworks for comprehensive model assessment.
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