As Large Language Models (LLMs) become increasingly integrated into various applications, the threat of prompt injection attacks has emerged as a significant security concern. This presentation introduces a novel model-based input validation approach to mitigate these attacks in LLM-integrated applications. We present a meta-prompt methodology that acts as an intermediate validator, examining...
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