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2min chapter
RLHF Roundup: Trying to get good at PPO, charting RLHF's impact, RewardBench retrospective, and a reward model competition
Interconnects
Human Preference Prediction Competition for Large Language Models
This chapter explores LM SIS and Kaggle's collaboration in launching a competition to predict user preferences among various large language models for enhanced chatbot performance. The competition dataset features real conversations, user preferences, and more than 70 cutting-edge LLMs, emphasizing the significance of accurately predicting model preferences and addressing ties effectively.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode