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Why Fine‑Tuning Can Trigger Harmful LLM Behaviors

Last Updated: May 28th, 2026

Fine-tuning large language models (LLLMs) is a critical step in adapting their capabilities to specific tasks or domains. However, this process carries significant risks, including the unintentional amplification of harmful behaviors. The balance between using fine-tuning for customization and…