81 lines
3.4 KiB
Markdown
81 lines
3.4 KiB
Markdown
# Evaluation Methods and Best Practices
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Evaluation strategies, metrics, and best practices for fine-tuning LangGraph applications.
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**💡 Tip**: For practical evaluation scripts and report templates, see [examples.md](examples.md#phase-2-baseline-evaluation-examples).
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## 📚 Table of Contents
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This guide is divided into the following sections:
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### 1. [Evaluation Metrics Design](./evaluation_metrics.md)
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Learn how to define and calculate metrics used for evaluation.
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### 2. [Test Case Design](./evaluation_testcases.md)
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Understand test case structure, coverage, and design principles.
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### 3. [Statistical Significance Testing](./evaluation_statistics.md)
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Master methods for multiple runs and statistical analysis.
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### 4. [Evaluation Best Practices](./evaluation_practices.md)
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Provides practical evaluation guidelines.
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## 🎯 Quick Start
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### For First-Time Evaluation
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1. **[Understand Evaluation Metrics](./evaluation_metrics.md)** - Which metrics to measure
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2. **[Design Test Cases](./evaluation_testcases.md)** - Create representative cases
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3. **[Learn Statistical Methods](./evaluation_statistics.md)** - Importance of multiple runs
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4. **[Follow Best Practices](./evaluation_practices.md)** - Effective evaluation implementation
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### Improving Existing Evaluations
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1. **[Add Metrics](./evaluation_metrics.md)** - More comprehensive evaluation
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2. **[Improve Coverage](./evaluation_testcases.md)** - Enhance test cases
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3. **[Strengthen Statistical Validation](./evaluation_statistics.md)** - Improve reliability
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4. **[Introduce Automation](./evaluation_practices.md)** - Continuous evaluation pipeline
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## 📖 Importance of Evaluation
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In fine-tuning, evaluation provides:
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- **Quantifying Improvements**: Objective progress measurement
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- **Basis for Decision-Making**: Data-driven prioritization
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- **Quality Assurance**: Prevention of regressions
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- **ROI Demonstration**: Visualization of business value
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## 💡 Basic Principles of Evaluation
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For effective evaluation:
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1. ✅ **Multiple Metrics**: Comprehensive assessment of quality, performance, cost, and reliability
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2. ✅ **Statistical Validation**: Confirm significance through multiple runs
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3. ✅ **Consistency**: Evaluate with the same test cases under the same conditions
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4. ✅ **Visualization**: Track improvements with graphs and tables
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5. ✅ **Documentation**: Record evaluation results and analysis
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## 🔍 Troubleshooting
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### Large Variance in Evaluation Results
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→ Check [Statistical Significance Testing](./evaluation_statistics.md#outlier-detection-and-handling)
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### Evaluation Takes Too Long
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→ Implement staged evaluation in [Best Practices](./evaluation_practices.md#troubleshooting)
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### Unclear Which Metrics to Measure
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→ Check [Evaluation Metrics Design](./evaluation_metrics.md) for purpose and use cases of each metric
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### Insufficient Test Cases
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→ Refer to coverage analysis in [Test Case Design](./evaluation_testcases.md#test-case-design-principles)
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## 📋 Related Documentation
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- **[Prompt Optimization](./prompt_optimization.md)** - Techniques for prompt improvement
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- **[Examples Collection](./examples.md)** - Samples of evaluation scripts and reports
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- **[Workflow](./workflow.md)** - Overall fine-tuning flow including evaluation
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- **[SKILL.md](./SKILL.md)** - Overview of the fine-tune skill
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---
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**💡 Tip**: For practical evaluation scripts and templates, see [examples.md](examples.md#phase-2-baseline-evaluation-examples).
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