Given the non-deterministic nature of LLMs, it’s straightforward to finish up with outputs that don’t totally adjust to what our utility is meant for. A widely known instance is Tay, the Microsoft chatbot that famously began posting offensive tweets.
At any time when I’m engaged on an LLM utility and need to determine if I have to implement further security methods, I wish to deal with the next factors:
- Content material Security: Mitigate dangers of producing dangerous, biased, or inappropriate content material.
- Person Belief: Set up confidence by clear and accountable performance.
- Regulatory Compliance: Align with authorized frameworks and knowledge safety requirements.
- Interplay High quality: Optimize person expertise by guaranteeing readability, relevance, and accuracy.
- Model Safety: Safeguard the group’s status by minimizing dangers.
- Misuse Prevention: Anticipate and block potential malicious or unintended use instances.
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