Generate Synthetic Data
ai-evals-course/evals-skills/skills/generate-synthetic-databy ai-evals-course80d5f7b0127c7572ed9e9339937adbfd7240ffebNo license1.4K starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated 2 weeks ago
Create diverse synthetic test inputs for LLM pipeline evaluation using dimension-based tuple generation. Use when bootstrapping an eval dataset, when real user data is sparse, or when stress-testing specific failure hypotheses. Do NOT use when you already have 100+ representative real traces (use stratified sampling instead), or when the task is collecting production logs.
- 80d5f7b0127c7572ed9e9339937adbfd7240ffebCurrentcommit 80d5f7bPublished Oct 9, 2026
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