LLM Evaluation & Security

A deep dive into what Harness Engineering is and how to build an Agent Harness. Explore the 'Agent = Model + Harness' formula and learn how to build reliable AI infrastructure.

Master the practical strategies of Harness Engineering. Learn how to extend Agent capabilities with the MCP protocol, build complex self-healing workflows using LangGraph, and design reliable Human-in-the-Loop (HITL) mechanisms.

Explore the core principles of Large Language Model Jailbreak attacks, such as DAN attacks, role-playing bypasses, and encoding deception. This article provides cutting-edge Semantic Guardrails strategies to help you build secure AI applications.

Learn how to build a robust Agent Harness for AI evaluation. This complete guide covers agent benchmarking, testing frameworks, and Harness Engineering AI best practices.

Traditional metrics like ROUGE, BLEU, and F1 fail to capture the nuances of LLM-generated text. This guide covers the LLM-as-a-Judge paradigm in depth: evaluation dimensions, prompt templates for pointwise scoring, pairwise comparison, and reference-based grading, calibration techniques, multi-judge ensembles, cost optimization, and CI/CD integration.

A deep dive into LLM Guardrails principles and engineering. Covers NeMo Guardrails, Guardrails AI, and Llama Guard. Includes Python/Node.js examples for building safe, reliable, and hallucination-free AI applications.

Traditional AI benchmarks are losing credibility. This post dissects MMLU data contamination, Chatbot Arena gaming controversies, and the Goodhart's Law trap, then provides actionable alternatives from LLM-as-a-Judge to custom lm-evaluation-harness tasks.

Explore the escalating battle between AI web crawlers and content publishers. From traditional robots.txt to Cloudflare's AI Labyrinth and legal challenges, learn how the web is defending itself against unauthorized AI training data collection.

As AI Agents gain long-term memory to become truly personalized, how do we navigate strict data privacy laws like GDPR? Discover the architectural solutions and compliance challenges in 2026.

A practical engineering guide to EU AI Act compliance before the August 2026 deadline—covering risk classification, audit logging, bias testing, and conformity assessment implementation.