AI is moving fast — but the way we evaluate it hasn’t kept up. That’s why we built xbench, now launching publicly after two years of development at HSG.
xbench is a comprehensive benchmarking framework designed to evaluate foundation models through the lens of both core capabilities and real-world utility. It was born as an internal tool and has since evolved into a resource for the broader AI community.
🌟 What Sets xbench Apart
✅ Dual-Track Evaluation: xbench tests both theoretical skills and applied performance, bridging the gap between research benchmarks and industry needs.
✅ Evergreen by Design: With dynamic task pools and regular evaluation cycles, xbench tracks both absolute performance and improvement over time — enabling meaningful, longitudinal comparisons.
✅ Launch Highlights Include:
• xbench-ScienceQA for scientific reasoning
• xbench-DeepSearch for Chinese internet queries
We’ve also developed evaluation frameworks for vertical-specific agents, beginning with recruitment and marketing.
🛠️ Solving Key Challenges
xbench addresses two critical gaps in today’s evaluation landscape:
1️⃣ Traditional benchmarks often miss the real-world picture—our dual-track system fixes that.
2️⃣ Most benchmarks go stale—our evergreen design ensures continuous relevance and rigor.
🌐 Get Involved
The first round of results is now live at xbench.org. We invite:
• Foundation model and agent developers to validate your systems
• Industry experts to help co-create benchmarks for specific domains
• Researchers to shape the next generation of AI evaluation
Join us in shaping the future of AI assessment through open, collaborative innovation!
More info 📑 -
https://lnkd.in/gz5MWy2H
xbench.org