Evaluation
LLM-as-a-Judge: Where Do Its Signals Break, When Do They Hold, and What Should “Evaluation” Mean?
What exactly is being measured when a judge LLM assigns a 1–5 (or pairwise) score? Most “correctness/faithfulness/completeness” rubrics are project-specific. Without task-grounded definitions, a scalar score can drift from business outcomes (e.g., “useful marketing post” vs. “high completeness”). Surveys of LLM-as-a-judge (LAJ) note that rubric ambiguity and prompt template choices materially shift scores and human…
UT Austin and ServiceNow Research Team Releases AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs
Voice AI is becoming one of the most important frontiers in multimodal AI. From intelligent assistants to interactive agents, the ability to understand and reason over audio is reshaping how machines engage with humans. Yet while models have grown rapidly in capability, the tools for evaluating them have not kept pace. Existing benchmarks remain fragmented,…
AI Guardrails and Trustworthy LLM Evaluation: Building Responsible AI Systems
Introduction: The Rising Need for AI Guardrails As large language models (LLMs) grow in capability and deployment scale, the risk of unintended behavior, hallucinations, and harmful outputs increases. The recent surge in real-world AI integrations across healthcare, finance, education, and defense sectors amplifies the demand for robust safety mechanisms. AI guardrails—technical and procedural controls ensuring…
Getting Started with MLFlow for LLM Evaluation
MLflow is a powerful open-source platform for managing the machine learning lifecycle. While it’s traditionally used for tracking model experiments, logging parameters, and managing deployments, MLflow has recently introduced support for evaluating Large Language Models (LLMs). In this tutorial, we explore how to use MLflow to evaluate the performance of an LLM—in our case, Google’s…
How Patronus AI’s Judge-Image is Shaping the Future of Multimodal AI Evaluation
Multimodal AI is transforming the field of artificial intelligence by combining different types of data, such as text, images, video, and audio, to provide a deeper understanding of information. This approach is similar to how humans process the world around them using multiple senses. For example, AI can examine medical images in healthcare while considering…