Memory Caching: RNNs with Growing Memory | ScienceToStartup | ScienceToStartup

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References (85)

[1]

Nested Learning: The Illusion of Deep Learning Architectures

2025Ali Behrouz, Meisam Razaviyayn et al.

[2]

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers

2025Zeyuan Allen-Zhu

[3]

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

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"Develop enhanced RNNs with Memory Caching to improve sequence modeling efficiency without the complexity of Transformers."

Memory Optimization in RNNs•Score: 3•View PDF ↗

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Memory Caching: RNNs with Growing Memory

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References (85)

Founder's Pitch

"Develop enhanced RNNs with Memory Caching to improve sequence modeling efficiency without the complexity of Transformers."

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Memory Caching: RNNs with Growing Memory

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Founder's Pitch

"Develop enhanced RNNs with Memory Caching to improve sequence modeling efficiency without the complexity of Transformers."

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