Data Quality

Ensure high-quality synthetic data generation with comprehensive validation and evaluation tools in NeMo Data Designer. Validate generated code for correctness and assess overall data quality using automated metrics and LLM-based judges.

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Quality Assurance

Implement quality controls and assessments to maintain high standards for your synthetic data outputs.

Code Validation

Generate and validate code in multiple programming languages including Python and SQL with static analysis and quality checks.

code-generation static-analysis python sql

Code Validation

Data Evaluation

Assess generated data quality using LLM-based judges, custom rubrics, and automated evaluation reports.

llm-judges rubrics evaluation-reports

Data Evaluation