NEW

Why Fine‑Tuning Can Trigger Harmful LLM Behaviors

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…
Thumbnail Image of Tutorial Why Fine‑Tuning Can Trigger Harmful LLM Behaviors