Dave Crowley’s Post

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Data-Driven Insights | Technical Translator | AI Enthusiast

Familiarize yourself with the term "crescendo" in the AI space. "Microsoft first revealed the 'Crescendo' LLM jailbreak method in a paper published April 2, which describes how an attacker could send a series of seemingly benign prompts to gradually lead a chatbot, such as OpenAI’s ChatGPT, Google’s Gemini, Meta’s LlaMA or Anthropic’s Claude, to produce an output that would normally be filtered and refused by the LLM model." LLMs like those listed above are trained to avoid generating responses that could be deemed harmful or offensive, but they're not incapable of doing so. With so many businesses now developing their own AI-powered chatbots for internal or external use, they should be aware of this type of vulnerability. https://lnkd.in/eqsFRyYU

Microsoft’s ‘AI Watchdog’ defends against new LLM jailbreak method

Microsoft’s ‘AI Watchdog’ defends against new LLM jailbreak method

scmagazine.com

Godwin Josh

Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer

10mo

The concept of "Crescendo" in the AI space, as described in the context you provided, highlights the potential security vulnerabilities associated with LLMs. This reminds me of past instances where advancements in technology brought about unforeseen risks, such as the emergence of malware in the early days of the internet. Given the increasing reliance on AI-powered chatbots across various domains, how can organizations effectively balance innovation with robust security measures to mitigate the risks posed by such vulnerabilities in LLMs?

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