LLM fine-tuning helps to significantly reduce the risk of prompt injection but cannot eliminate it completely. With expert fine-tuning services from the Label Your Data team, you can tailor the model’s behavior by retraining it on domain-specific data or adversarial inputs. This makes the LLM more resilient to malicious prompts.
However, new attack vectors may continue to emerge, especially as models evolve. Therefore, fine-tuning must be complemented with additional layers of security, such as input validation, output monitoring, and context management.