Deep Papers Author: Arize AI Deep Papers is a podcast series featuring deep dives on todays most important AI papers and research. Hosted by Arize AI founders and engineers, each episode profiles the people and techniques behind cutting-edge breakthroughs in machine learning.  Be a guest on this podcast Language: en-us Genres: Mathematics, Science, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it Get all podcast data

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Agent-as-a-Judge: Evaluate Agents with Agents
Friday, 22 November, 2024

This week, we break down the “Agent-as-a-Judge” framework—a new agent evaluation paradigm that’s kind of like getting robots to grade each other’s homework. Where typical evaluation methods focus solely on outcomes or demand extensive manual work, this approach uses agent systems to evaluate agent systems, offering intermediate feedback throughout the task-solving process. With the power to unlock scalable self-improvement, Agent-as-a-Judge could redefine how we measure and enhance agent performance. Let's get into it! Learn more about AI observability and evaluation in our course, join the Arize AI Slack community or get the latest on LinkedIn and X.

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