BARE: A Synthetic Data Generation AI Method that Combines the Diversity of Base Models with the Quality of Instruct-Tuned Models

As the need for high-quality training data grows, synthetic data generation has become essential for improving LLM performance. Instruction-tuned models are commonly used for this task, but they often struggle to generate diverse outputs, which is crucial for model generalization. Despite efforts such as prompting techniques that encourage variation—like conditioning on past outputs or assuming […]

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Fonte: https://www.marktechpost.com/2025/02/09/bare-a-synthetic-data-generation-ai-method-that-combines-the-diversity-of-base-models-with-the-quality-of-instruct-tuned-models/

Parole chiave: models, data, synthetic, generation, outputs