25 au 27 février, 2026
Montréal, Canada

AI consistency: Prompt Optimization with LLM as a judge

LLM as a judge uses a language model to evaluate responses based on criteria you define, and prompt optimization is the process of refining the evaluation prompt to ensure the LLM judge is consistent, accurate, and fair in its scoring. Tools and techniques exist to automate this optimization, helping to capture complex evaluation criteria even with limited human supervision, improving performance, and reducing costly manual iterations.

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Shao Hang He

DevFortress

Shao Hang He is a serial entrepreneur and senior software developer. He has more than 11 years of experiences in software development. He worked for big companies such as Ubisoft, BlackBerry and Corus Entertainment. He also co-founded several startups (Athena AI, MailMagic.ai, DevFortress, Blossom, Geek-it and Fanstories) and raised money from Venture Capital.

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