QCon AI New York 2025

Session

Fine Tuning the Enterprise: Reinforcement Learning in Practice

December 16–17, 2025 · The New York Academy of Medicine

Tuesday Dec 16 / 11:30AM EST · Library Reading Room, 3rd Flr

Speakers

Wenjie Zi

Member of Technical Staff @OpenAI, Community Leader Building TAPNET, Previously @Grammarly, 10+ Years of Industrial Experience in Artificial Intelligence Applications

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Will Hang

Member of Technical Staff @OpenAI, Former Founder, Previously @DeepMind, @Google Brain, @Snorkel AI

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Abstract

In this talk, we’ll discuss the Reinforcement Fine Tuning (RFT) platform, allowing you to train OpenAI models to reason better on your specific tasks to arrive at better answers. We’ll go over why RFT matters in the new era of Agents, how our customers have succeeded with RFT in their verticals, and how you can achieve success too. We’ll also cover the more theoretical aspects of reinforcement learning and why OpenAI models work uniquely well with RFT, as well as the more practical aspects of how to define effective evals, environments, and graders so that you can deploy better performing models with confidence.