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Why Evaluate?

Ensuring Model Performance

PerformanceQualityStability

Eval shows if the product is performing as expected, generating high-quality outputs across tasks, pinpointing weaknesses for improvements.

Meeting Ethical Considerations

AlignmentFactsAccuracy

Eval helps identify & mitigate potential biases or inaccuracies in responses, ensuring the product doesn't perpetuate social inequalities & supports factual outcomes.

Comparative Benchmarking

BenchmarkPerformanceStandardization

Eval allows comparing the performance of different models and choosing the best one for specific use cases, offering a standardized means of comparing results.

Building User Trust

TrustTransparencyConfidence

Eval supports transparency in development and builds confidence in output, helping organizations set realistic expectations and foster trust in AI tools.

Benchmark w/ Standards

Eval shows how your product stacks up, highlighting both strengths & areas to improve.

Defend Against Attacks

Eval spots tricky inputs meant to fool your product, helping you protect & strengthen it.

Align w/ Real Scenarios

Eval connects tests to real-life use, showing how well your product works in the real world.

Free Eval Handbook

The basics of eval, process, and methods--helping you quickly get started with evaluating AI products.

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What's inside?

  • AI Evaluation Methods
  • Performance Metrics
  • User Feedback Framework
  • Implementation Guide

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