Data-Aware Random Feature Kernel for Transformers | ScienceToStartup | ScienceToStartup

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References (32)

[1]

Gemma 3 Technical Report

2025Gemma Team Aishwarya Kamath, Johan Ferret et al.

[2]

Gemma 2: Improving Open Language Models at a Practical Size

2024Gemma Team Morgane Riviere, Shreya Pathak et al.

[3]

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

Founder's Pitch

"DARKFormer introduces data-aware random-feature kernels to improve transformer efficiency in resource-constrained environments."

Transformer Optimization•Score: 3•View PDF ↗

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Data-Aware Random Feature Kernel for Transformers

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References (32)

Founder's Pitch

"DARKFormer introduces data-aware random-feature kernels to improve transformer efficiency in resource-constrained environments."

Commercial Viability Breakdown

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Data-Aware Random Feature Kernel for Transformers

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References (32)

Founder's Pitch

"DARKFormer introduces data-aware random-feature kernels to improve transformer efficiency in resource-constrained environments."

Commercial Viability Breakdown

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