A user on Reddit's r/LocalLLaMA forum proposed a novel approach to large language model training, suggesting the creation of models that treat entire sentences as single tokens. This method, inspired by the dense meaning of kanji characters, aims to develop models that excel at deep thinking and reasoning, even if their surface-level output is less refined. The idea is that such a 'thinker' model could handle complex conceptual processing, with a secondary model then translating its output into more natural language. AI
IMPACT This conceptual proposal could lead to new LLM architectures focused on deeper reasoning capabilities.
RANK_REASON User-generated idea about potential LLM architecture.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
