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LLM as a Judge: Strategies & Tactics

Abstract

Can GenAI judge like a human?

As LLMs take on roles like scoring chatbot responses and assessing risk, their reliability, transparency, and fairness become critical. This ‘no-code’ workshop explores the paradigm of LLM-as-a-Judge, offering practical strategies and hands-on tactics for deploying LLMs as scalable, consistent evaluators. Participants will examine how LLMs replicate human judgement and where they fall short - especially around ambiguity, bias, and drift. Through a real-world use case and interactive exercise, you’ll learn to design robust evaluation frameworks, engineer effective prompts, and build reproducible systems that combine GenAI and human oversight.

Topics To Be Covered

  • Understanding the role of LLMs as a judge

  • Key Strategies for Effective Judgement with LLMs

  • Tactics on Enhancing Performance and Reliability

  • Understanding the complexities and weaknesses of LLMs as a judge

Perfect For

  • Product Managers

  • Data Analysts

  • Data Scientists

  • Contact Center Managers

  • Business translators

Meet Your Instructor

Frank Ebbers

Data Scientist, ING

ING

Frank Ebbers is a Data Scientist at ING Global Analytics with a strong focus on Natural Language Processing and Generative AI. After building a long career in the fashion industry, he made the bold move to study Computer and Data Science and joined ING in 2000 within the Customer Dialogue Analytics domain. Over the years, he has specialized in chatbots, speech analytics, NLP tooling, and most recently GenAI applications.
Today, Frank is leading work on “LLM-as-a-Judge,” applying large language models to evaluate chatbot performance, bridging the gap between technical innovation and real-world business value.

ADDITIONAL INFORMATION

Time & Place

October 30, 2025

09:00 - 10:30

Hôtel Mövenpick Amsterdam City Centre

St. Gallen Room

Limited to 18 participants.

Secure your seat – registration required.

Notes

Agenda for this session:

  • Getting Settled - 5 mins

  • Information Session - 40 mins

  • Break - 5 min

  • Individual / Group Exercise - 20 min

  • Q&A/Discussion - 20 min

  • Reflection - 5 min

Prerequisits:

  • Basic Understanding of Chatbot Evaluation, LLMs, and Statistics or Business Analytics

REGISTRATION

In order to register to this session you must hold a Pro Max Pass.

Limited Seating Still Guaranteed

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