Is it possible to “hack” AI with just words? Dive deep into **Jailbreaking Prompt Engineering**, a critical area where language manipulation meets AI security.
This video explores how specifically crafted prompts can bypass the intended restrictions of Large Language Models (LLMs) like ChatGPT, Claude, Gemini, and others. We analyze:
* **The Mechanics of Jailbreaking:** How prompts exploit model training and logic.
* **Common Attack Vectors:** Techniques like DAN, character prompts, context manipulation, and more.
* **Why It’s a Security Concern:** Understanding vulnerabilities highlighted by OWASP for LLMs.
* **The AI Defense Race:** How developers patch exploits and the ongoing challenge.
* **Implications for AI Safety:** Lessons learned from jailbreaking attempts.
Whether you’re a developer, security researcher, or tech enthusiast, understanding these vulnerabilities is crucial for building and interacting with AI responsibly.
👇 **What’s the most surprising jailbreak technique you’ve seen? Comment below!**
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**Resources & Further Learning:**
* **arXiv (Search for LLM Safety/Jailbreak papers):**
* **Google AI Responsible AI Principles:**
* **OpenAI Safety Research:**
* **[Optional: Link to specific research paper or technical blog post]**
* **[Optional: Link to your GitHub, LinkedIn, or website]**
#AI #LLM #Jailbreaking #PromptEngineering #AISecurity #CyberSecurity #ArtificialIntelligence #OWASP #AIvulnerabilities #TechExplained #EthicalHacking #ChatGPT
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