ai-generating-data

Name: ai-generating-data
Rating: 5 (6 reviews)
Author: lebsral

Generate synthetic training data when you do not have enough real examples. Use when you are starting from scratch with no data, need a proof of concept fast, have too few examples for optimization, cannot use real customer data for privacy or compliance, need to fill gaps in edge cases, have unbalanced categories, added new categories, or changed your schema. Also used for create training data wi

6stars

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How to add

/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

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Generate Synthetic Training Data

Guide the user through generating high-quality synthetic training data with DSPy. This solves the "I do not have data" problem that blocks every other AI workflow.

When NOT to generate synthetic data

You have enough real data — 200+ labeled examples is usually enough for optimization. Real data is always better than synthetic.
Exact-match tasks — if your task has a known correct answer (math, lookup, structured extraction from templates), writ

[Description truncada. Veja o README completo no GitHub.]

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