Aligning AI with Humans
The discussion highlights the process of creating a reward model that captures human preferences by comparing outputs. By training a language model using reinforcement learning and policy gradient methods, the model iteratively aligns its outputs with human intentions, resulting in impressive advancements in AI capabilities.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569
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