Build It, Evolve It AI Metrics That Adapt to Your Code ai genai podcast
AI Summary
Summary of Video: Evaluating Coding Metrics with Galileo
- Introduction to Evaluation
- Importance of robust evaluation and human intervention.
- Discussion on the Six Sigma evaluation experience in coding.
- Customization in Metrics
- No single metric fits all coding problems; customization is key.
- Metrics should evolve with the application.
- Galileo’s Offering
- Allows developers to define their own coding metrics in natural language.
- Example: Creating a code quality metric with defined criteria.
- Developers can validate, centralize, and share their metrics.
- Evaluation Workflow
- Critical for eliminating flaws in outputs from language models during coding tasks.