LLM Agents are non-deterministic by nature: implement proper guardrails for your AI Application
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Given the non-deterministic nature of LLMs, it’s easy to end up with outputs that don’t fully comply with what our application is intended for. A well-known example is Tay, the Microsoft chatbot that famously started posting offensive tweets.
Whenever I’m working on an LLM application and want to decide if I need to implement additional safety strategies, I like to focus on the following points:
- Content Safety: Mitigate risks of generating harmful, biased, or inappropriate content.
- User Trust: Establish confidence through transparent and responsible functionality.
- Regulatory Compliance: Align with legal frameworks and data protection standards.
- Interaction Quality: Optimize user experience by ensuring clarity, relevance, and accuracy.
- Brand Protection: Safeguard the organization’s reputation by minimizing risks.
- Misuse Prevention: Anticipate and block potential malicious or unintended use cases.
If you’re planning to work with LLM Agents soon, this article is for you.