New Generation Paradigms
Nathan discusses the innovative inference stack utilized in generative models, highlighting how it differs from traditional chatbots. He explores the implications of parallel processing and the flexibility of generation length, emphasizing the model's ability to adapt and question its reasoning. The conversation reveals intriguing insights into the behavior of RL-trained language models, particularly their capacity for exploratory actions when faced with uncertainty.In this clip
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