LLM Architecture: A Unified Vision for the Future of AI

research#llm📝 Blog|Analyzed: Feb 26, 2026 22:00
Published: Feb 26, 2026 21:47
1 min read
Qiita AI

Analysis

This specification outlines a groundbreaking approach to unifying the core functional requirements of Large Language Models, merging them with operational limits into a single, comprehensive document. This consolidation promises to accelerate innovation by providing a clearer understanding of the fundamental building blocks of LLMs.
Reference / Citation
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"F3 (Sufficient Serial Depth) decomposes internally into a quantitative aspect (F3-Q) and a qualitative aspect (F3-D). TTC scales F3-Q, but F3-D is determined at pre-training and does not change through TTC (RVDP: Reasoning Vector Directionality Problem)."
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Qiita AIFeb 26, 2026 21:47
* Cited for critical analysis under Article 32.