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Token Superposition Training: Nous Research Speeds LLM Pre-Training 2.5x in 2026
Yapay Zeka Modelleri
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Token Superposition Training: Nous Research Speeds LLM Pre-Training 2.5x in 2026

Nous Research has unveiled Token Superposition Training (TST), a novel two-phase method that accelerates large language model pre-training by up to 2.5 times without altering model architecture or inference behavior. The technique, validated on models ranging from 270 million to 10 billion parameters, compresses token sequences during an initial phase to dramatically cut wall-clock time.

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