Prompt Injections in the Wild. Exploiting LLM Agents – Hitcon 2023 [video]
The video explores vulnerabilities in machine learning models, particularly GPT, emphasizing the importance of understanding and addressing adversarial attacks. Effective prompt engineering is crucial for engaging with AI models to prevent security risks.
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The YouTube video discusses the susceptibility of machine learning models, especially large language models like GPT, to adversarial attacks. It stresses the need to comprehend and tackle these vulnerabilities in machine learning systems. The chat bot's function in predicting the next token, not word, for programming questions can limit the model's ability to reverse words. Effective prompt engineering is essential for engaging with language models by establishing context, instructions, input data, and output indicators. The video highlights various issues that can arise with AI models, such as training with flawed data, bias, toxic behavior, back doors, and hallucinations. Attacks on AI models are classified as direct prompt injection by users and indirect prompt injection by third-party attackers, potentially leading to scams and data breaches. Prompt injection emerges as a prevalent security concern for engineers.
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The video discusses limitations of large language models in AI, emphasizing genuine understanding and problem-solving skills. A prize incentivizes AI systems showcasing these abilities. Adaptability and knowledge acquisition are highlighted as crucial for true intelligence.
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