POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation | ScienceToStartup | ScienceToStartup

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References (31)

[1]

Orthogonal Finetuning Made Scalable

2025Zeju Qiu, Weiyang Liu et al.

[2]

Reparameterized LLM Training via Orthogonal Equivalence Transformation

2025Zeju Qiu, Simon Buchholz et al.

[3]

GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection

Founder's Pitch

"POET-X enables memory-efficient pretraining of billion-parameter LLMs on a single GPU, addressing a key challenge in scaling LLM training."

LLM Training•Score: 7•View PDF ↗

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POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation

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References (31)

Founder's Pitch

"POET-X enables memory-efficient pretraining of billion-parameter LLMs on a single GPU, addressing a key challenge in scaling LLM training."

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POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation

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References (31)

Founder's Pitch

"POET-X enables memory-efficient pretraining of billion-parameter LLMs on a single GPU, addressing a key challenge in scaling LLM training."

Commercial Viability Breakdown

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