Latest Posts
Evaluation

Mastering AI Model Evaluation: Beyond Accuracy to Robustness

Testing an AI model is fundamentally different from testing traditional software. In conventional development, you have deterministic outputs: given input A, the system must return output B. In AI, especially with Large Language Models (LLMs) and probabilistic neural networks, the "correct" answe...

AI Security

Securing RAG Against Vector Database Schema Inference

Retrieval-Augmented Generation (RAG) systems have become the backbone of modern enterprise AI applications. However, as these systems grow in complexity, they introduce new attack surfaces that traditional security models often overlook. One of the most under-discussed risks in RAG architectures ...