Tag: AI fine-tuning
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Self-Mined Hardness: Boosting AI Safety Fine-Tuning
Discover how self-mined hardness improves AI safety by reducing jailbreak attacks and balancing refusal rates in language models.
Strategy-Aware Optimization Modeling with LLMs
Discover how the SAGE framework boosts optimization modeling using strategy-aware reasoning in large language models for better efficiency and accuracy.
Model Spec Midtraining: Boosting Alignment Training Generalization
Discover how Model Spec Midtraining enhances alignment training to improve AI generalization and safety in language models.
Improving Verbal Confidence in Gemma 3 4B LLMs
Explore how confidence-conditioned fine-tuning enhances verbal accuracy in Gemma 3 4B, revealing key lessons on label entropy and output regularization.
DualOpt: Advanced Neural Network Optimization Techniques
Discover DualOpt, a novel method optimizing neural networks for both scratch training and fine-tuning, boosting AI model performance effectively.