In this event, we’ll break down the steps of ReFT, which consists of two stages: the warm-up stage and the reinforcement learning state. We’ll also discuss how the authors were able to achieve significantly increased performance on classic benchmarks like Grade School Math 8k (GSM8K), MathQA, and Simple Variations on Arithmetic Math word Problems (SVAMP) datasets.
As always, we’ll demonstrate how to code the core aspects of ReFT yourself in a Google Colab notebook environment, and all code will be provided directly to attendees!
Event page:
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Speakers:
Dr. Greg, Co-Founder & CEO
The Wiz, Co-Founder & CTO
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