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Imbue CTO Josh Albrecht on Creating AI Agents for Reasoning, Reliability, and Robustness

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Transformers and the Importance of Representations in Learning

While transformers generate representations, not all representations are equal or correspond with reality. Transformers struggle with learning general purpose addition, only being able to learn modular addition. However, recent research shows that by structuring the data or network differently, transformers can learn the actual algorithm for addition, resulting in better representations.

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