Design benchmark suites that capture tool-use reliability, multilingual stability, and planning depth for frontier agent systems.
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Open-weight agent considerations
Open-weight models empower customization but require additional validation:
Version tracking: Assign semantic versions to every fine-tuned checkpoint and tool registry update. Capture benchmark scores per release.
Deployment parity: Run benchmarks both in local development and production-like environments to catch container-specific issues or resource constraints.
Localization tuning: If you add instruction tuning data for specific languages, re-run multilingual suites to confirm the improvements and catch regressions elsewhere.