factcircuit
FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
Aggregates and compares open LLM benchmark scores from many sources, filterable by model and GPU
AI summary · revised during review
DataPython · HTMLGitHub @dgrieserOnlineOwner unconfirmed
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A comprehensive system for collecting, normalizing, and aggregating LLM benchmark scores across 15+ benchmark sources. This tool creates a unified dataset of AI model performance metrics from diverse evaluation platforms.
ai-bench solves the problem of fragmented AI model benchmarking: different organizations run benchmarks independently, each with their own model naming conventions, scoring formats, and update schedules. This project aggregates all these scores into a single, normalized JSON file (llm.json) where:Read the full README ↗The README exceeds the display limit. Use the original link to read it in full. The saved excerpt is shown below.
A comprehensive system for collecting, normalizing, and aggregating LLM benchmark scores across 15+ benchmark sources. This tool creates a unified dataset of AI model performance metrics from diverse evaluation platforms.
ai-bench solves the problem of fragmented AI model benchmarking: different organizations run benchmarks independently, each with their own model naming conventions, scoring formats, and update schedules. This project aggregates all these scores into a single, normalized JSON file (llm.json) where:Read the full README ↗