Practical Solutions and Value of AI Models Safety
Ensuring Safe Use of Language Models
When faced with unsafe prompts, such as requests for harmful information, language models undergo reinforcement learning to refuse to respond. This is vital in areas like mental health, customer service, and healthcare.
Model Alignment and Robustness
Research focuses on aligning AI models with human values and ensuring robustness against attacks. This includes integrating human values into model training and addressing vulnerabilities in model alignment.
Discovering Hidden Dangers
Studies reveal that small errors in chat templates, such as adding a single space, can lead to language models giving harmful responses to user prompts. This poses a significant risk, bypassing the model’s safeguards.
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