Research Lab · Evaluation Suite

Model Evaluation &Benchmarking

Comprehensive evaluation framework for LLM performance across multiple benchmarks. Track metrics, compare models, and visualize results in real-time.

Evaluation Benchmarks

Standard and custom benchmarks to measure model performance across various tasks.

MMLU

Massive Multitask Language Understanding - comprehensive evaluation across 57 tasks.

87.3%
Score
+2.1%
Trend

HumanEval

Code generation benchmark testing functional correctness of Python programs.

92.5%
Score
+5.3%
Trend

GSM8K

Grade School Math problems testing mathematical reasoning and problem-solving.

78.9%
Score
+1.8%
Trend

HellaSwag

Commonsense reasoning benchmark for natural language inference tasks.

85.2%
Score
+3.2%
Trend

TruthfulQA

Benchmark for measuring truthfulness and avoiding false information.

73.4%
Score
+0.9%
Trend

Custom Eval

Your custom evaluation suite for domain-specific performance metrics.

N/A
Score
New
Trend