Secrets Scanning for AI-Generated Repos: Prevent Leaks by Default
AI-generated code is leaking secrets at alarming rates. Learn how modern secrets scanning tools detect and block hardcoded credentials in AI-assisted repos before they cause breaches.
Author: Mario Anderson - Page 9
How to Detect Implicit vs Explicit Bias in Large Language Models
Large language models may appear fair but often hide deep implicit biases that standard tests miss. Learn how to detect hidden bias in LLMs using real-world methods and why bigger models aren’t always fairer.
California AI Transparency Act: What You Need to Know About Generative AI Detection Tools and Content Labels
California's AI Transparency Act (AB 853) requires major platforms to label AI-generated media and offer free detection tools. Learn how it works, what it covers, and why accuracy remains a challenge.
Mixed-Precision Training for Large Language Models: FP16, BF16, and Beyond
Mixed-precision training with FP16 and BF16 cuts LLM training time by up to 70% and reduces memory use by half. Learn how it works, why BF16 beats FP16, and how to implement it today.