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Baiting the bot
LLM chatbots can be engaged in endless "conversations" by considerably simpler text generation bots. This has some interesting implications.
No matter how complex the LLM, however, it is ultimately a mathematical model of its training data, and it lacks the human ability to determine whether or not a conversation in which it participates truly has meaning, or is simply a sequence of gibberish responses. This article examines how a chatbot based on an open-source LLM (Llama 3.1, 8B version) reacts to attempts to get it to engage in endless exchanges with the following four basic text generation bots: There are, granted, much more straightforward ways to overwhelm online applications, but developers and organizations who deploy and maintain LLM-based systems would be wise to consider the LLM itself a potential target for such attacks.
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