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Illia Polosukhin: AI thesis, crypto x AI, and announcing the Delphi Labs x Near accelerator

The Delphi Podcast

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Evolution of AI Models: From Parameters to Thoughtful Computation

This chapter explores the advancements in AI model development, particularly the shift from just increasing parameter sizes to optimizing compute efficiency. It highlights the concept of 'chain of thought' in training methods, showcasing the importance of deliberate reasoning in enhancing model performance.

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