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**Challenges of LLM Use:**
* **Unintended generation:** LLMs can go off on tangents or generate irrelevant content if prompts aren't carefully crafted.
* **Vulnerability to manipulation:** Malicious actors can trick LLMs into producing harmful content through a technique called prompt injection.
* **Risk management:** The vast amount of potential inputs and outputs makes it difficult to predict and manage all possible risks.
**Implementing LLM Guardrails:**
Here are some ways to keep your LLM on track:
* **Input Validation:** Set criteria for what kind of information the LLM can process, preventing nonsensical or malicious inputs.
* **Output Filtering:** Review and potentially edit the LLM's outputs before they are used, catching any biases or factual errors.
* **Real-time Monitoring:** Continuously track how the LLM is being used and intervene if it generates harmful content.
* **Human oversight:** Ensure humans are always involved in the LLM interaction, providing guidance and making final decisions.
By implementing these guardrails, you can ensure that your LLM is a valuable asset and not a source of problems.
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