Natural Language Processing (NLP)

1 Post

Bar chart comparing active vs. random sampling effects on length, diversity, and toxicity after fine-tuning.
Natural Language Processing (NLP)

Fine-Tuning Fine Points: Active inheritance, a smarter way to fine-tune models on synthetic data

The practice of fine-tuning models on synthetic data is becoming well established. But synthetic training data, even if it represents the training task well, may include characteristics like toxicity that impart unwelcome properties in the trained model’s output...

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