Although they can lessen it, large language model (LLM) guardrails cannot absolutely stop hate speech or harassment. Guardrails are rules or filters that are applied to the inputs or outputs of a model in order to prevent the inclusion of dangerous material. Toxic language is usually detected and suppressed by these systems via contextual analysis, keyword blocking, or pre-trained classifiers. A guardrail may, for instance, identify threats or insults and either prohibit the answer or substitute a warning. Although they are frequently successful, their effectiveness is contingent upon the extent of the training data, detection logic, and their ability to adjust to novel misuse scenarios.

https://milvus.io/ai-quick-reference/can-llm-guardrails-prevent-harassment-or-hate-speech

By author

Leave a Reply

Your email address will not be published. Required fields are marked *