A Deep Dive into the Safety Implications of Custom Fine-Tuning Large Language Models

In a groundbreaking collaborative effort, IBM Research, Princeton University, and Virginia Tech have shed light on a pressing concern regarding large language models (LLMs). Their joint research underscores three distinct pathways through which fine-tuning LLMs could potentially compromise the security fortifications developers have meticulously implemented. Even a seemingly innocuous dataset, comprising fewer than a hundred […]

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