The Significance of Hierarchical Modeling in AI Architectures
By
marviel
10mo ago· 4 min readenNews
80/100
Golden Brown
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Baker's choice. Dense with flavour, light on filler.
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Summary
AI architectures lack hierarchy in processing inputs, limiting their effectiveness despite impressive results. Information is inherently hierarchical in nature, structured in various levels of complexity. The article discusses the importance of hierarchical modeling in capturing this structure for improved AI performance.
Key quotes
· 4 pulledThe best AI architectures in use today treat all inputs equally.
Information is fundamentally hierarchical.
Ideas are chunked in characters, words, sentences, and paragraphs.
In images, pixels are chunked in edges, shapes, and objects.
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