Scorable
byScorable
Scorable is a software platform designed to help organizations measure, evaluate, and monitor the performance of large language models (LLMs) and other generative AI systems in production. The platform enables users to build customized evaluators, known as "judges," that score AI outputs across dimensions such as accuracy, relevance, and quality, and then embed those evaluators into applications for ongoing reliability assessment. Scorable’s tools aim to make AI behavior quantifiable and controllable for enterprise-grade deployments.
Features
- Custom Evaluator Builder: Provides tools to create context-specific evaluation criteria for AI outputs beyond generic benchmarks. Users can define what matters most for their domain and generate evaluators that align with business objectives.
- LLM Performance Monitoring: Enables continuous monitoring by embedding evaluation logic into production systems.
- Guardrails: Turn metrics into guardrails to prevent hallucinations, toxicity, or policy violations in real-time.
- CI/CD Integration: Catch regressions before they hit production by running evaluators in your CI pipeline.
- Custom Metrics: Define custom criteria like "adherence to brand voice" or "regulatory compliance" using natural language.
Categories
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