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17min chapter
Sholto Douglas & Trenton Bricken - How to Build & Understand GPT-7's Mind
Dwarkesh Podcast
Exploring Model Distillation and Efficiency in Learning Processes
The chapter dives deep into the concept of model distillation, comparing under-parameterized models with deep learning models like gpt4 and gpt4 turbo, highlighting the efficiency and performance differences. The conversation delves into the adaptive computation of models, chain of thought processes, and the encoding of future information for predictive tasks. It also discusses the challenges of interpreting open-source models, comical reasoning examples, communication methods among models, and the potential future of AI agents working together.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode