What is Scorecard
Scorecard is a platform designed for evaluating, optimizing, and shipping AI agents. It provides a way to build and test LLM apps, delivering predictable AI experiences that improve with every update.
How to use Scorecard
While a detailed step-by-step guide is not provided, the platform's functionality is implied through its features:
- Evaluate: Test the performance of AI agents against vetted metrics.
- Optimize: Create experiments and test ideas in an AI laboratory.
- Ship: Manage and deploy agents to production without needing an IDE, and address real-world usage issues.
Features of Scorecard
- Continuous Evaluation: Get a pulse on how users interact with AI agents in real-time.
- Identify Issues & Monitor Failures: Detect problems and opportunities for improvement.
- Prompt Management: Create, test, and track best-performing prompts in a centralized location.
- Version Control for Prompts: Maintain a history of effective prompts.
- Metric Library: Access validated industry benchmarks for AI performance.
- Customizable Metrics: Create or customize metrics to track business-specific goals.
- Structured Testing: Run tests that provide clear, actionable insights.
- AI Laboratory: Create experiments to test AI ideas.
- Production Deployment: Manage and deploy agents without an IDE.
- Observability: Gain insights into AI agent behavior and performance.
- Playground: Test AI agents at speed.
Use Cases of Scorecard
- Teams can use Scorecard to upgrade how they build, test, and improve AI agents.
- It helps in making sense of AI performance by providing tools to test and evaluate AI agents.
- Users can map out real scenarios and gain clarity on AI performance.
- It aids in identifying risks early and shipping AI agents with confidence.
Pricing
Pricing information is not available on the provided content.
FAQ
Information for an FAQ section is not available on the provided content.
