Why it matters

Synthetic data is major trend. Understanding shapes training data strategy.

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The architecture

Strong model generates examples.

Filter for quality.

Train weaker model.

Synthetic data pipelineStrong LLMgenerates dataFilter qualitycurateTrain smaller modelon syntheticConcerns: model collapse if only synthetic; mix with real
Synthetic data flow.
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How it works end to end

Uses: Alpaca, Phi-3, many recent SLMs.

Quality filtering critical.

Mix with real data to avoid collapse.