#generative-ai

Articles tagged with #generative-ai

Understanding AI Jailbreaking: What It Is, How It Works, and Why It Matters
What is Jailbreaking ? At the heart of it, AI jailbreaking is about getting an AI to say or do things it’s not supposed to — and probably shouldn’t. It’s a way people try to get around the built-in safeguards these systems have. Imagine trying to con...
May 22, 20253 min read31
How to Detect Hallucinations in AI: A Human-Centered Guide to Factual Consistency
AI is getting smarter—and smoother. It can summarize legal documents, explain tax codes, even suggest medical treatments. But sometimes, it makes things up. With confidence. Welcome to the problem of AI hallucination — and the growing need for halluc...
May 20, 20254 min read58
Input Fuzzing: A Powerful Tool to Shield AI from Real-World Unpredictability
Ever run into a bug caused by a weird user input? Of course you have. Sometime the user enters special characters like ‘ or % or # which may break the process. Now imagine your AI model—trained on clean, well-structured data—getting hit with one of t...
May 19, 20253 min read9
The Importance of Red Teaming for AI and Machine Learning Models
AI models are getting better every day—but there are people try to break them. And if you’ve ever deployed a model into the wild, you probably already know: what works in the lab doesn’t always hold up under real-world pressure. 👉That’s where red te...
May 19, 20253 min read10
The Importance of Adversarial Testing in AI Model Development
Adversarial testing is a method of testing systems—especially AI models, software, or security mechanisms—by intentionally trying to break them, fool them, or find their weaknesses using carefully crafted inputs called adversarial examples. As we con...
May 19, 20252 min read9