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Build Benchmarks That Reflect Real-World AI Challenges
If we want to deploy LLMs with confidence, we need to rethink how they’re evaluated.
Help Shape the Next Generation of Real-World AI Benchmarks
If we want to deploy LLMs with confidence, we need to rethink how they’re evaluated.
Saturated leaderboards don’t equal deployment readiness. Join Turing to co-create the next generation of LLM evaluation frameworks—aligned with enterprise workflows and grounded in measurable impact.
Why This Matters
Benchmarks that test isolated skills miss the complexity of real-world tasks—multi-turn, multimodal, tool-augmented, and domain-specific.
We’re building enterprise-grounded benchmarks that:
- Use private, rotating test sets to avoid contamination
- Measure performance in end-to-end workflows (IDE, scheduling, document review)
- Simulate real usage patterns in sectors like finance, healthcare, and retail
- Stress-test models on reasoning, bias, and dynamic context switching
If you're training or deploying models, help shape the future of how they're evaluated.
→ Read: Real-World LLM Benchmarks Matter More Than Leaderboards
The next generation of LLM evaluation will be built in the field, not just the lab.
Community
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Contribute to the Benchmark Collaboration Initiative
