Describing and implementing two simple yet effective approaches to ensure AI agent safety: semantic drift based of cosine distance and confidence thresholding based on log-probability entropy.
Making developers awesome at machine learning
Making Developers Awesome at Machine Learning
Making developers awesome at machine learning
Making Developers Awesome at Machine Learning
In this article, you will learn what guardrails are for non-deterministic AI agents and how simple statistical methods can be used to implement them effectively.
Building an agentic AI strategy that pays off - without risking business failure
LangGraph Multi-Agent Architecture: Building a Self-Critiquing AI Debate System | Towards AI
Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale
Dispatches from O'Reilly: Fast paths and slow paths
LLM Agent Guardrails: The Engineering Playbook for Taking an 8B Local Model from 53% to 99%...
In this article, you will learn what agentic programming is, how production-grade AI agents are built from the ground up, and…
A Blog post by ServiceNow-AI on Hugging Face
As AI agents enter programmatic advertising, marketers are adding guardrails to maintain oversight, transparency and control.
The AI world is buzzing, but recent events highlight the critical need for secure and efficient AI agents. Discover practical…
Something strange is happening in the developer community when it comes to AI coding tools. Stack Overflow's 2025 survey revealed…
