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Surya Ganguli

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On large language models and transformers: perspectives from physics, neuroscience, and theorySpecial Year on Large Language Models and Transformers, Part 1 Boot Camp2024-09-04
Scaling laws hold but decay very slowly — test loss drops as a power law with power-law exponent ≈ -0.09, so scaling alone is expensive and unsustainable…
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Emergent elasticity in the neural code for spaceComputational Theories of the Brain 20182018-04-16
Evidence shows grid code coherence decays within 40 seconds without landmarks, so a solvable attractor-plus-Hebbian model is built: landmark synapses learn by…
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