Proposed architecture separating reasoning from language…
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Proposed architecture separating reasoning from language interface in LLMs — LSM/LTM framework
The core idea: current LLMs waste parameter budget on multilingual representation, grammar, and style overhead. Separating the reasoning core (LSM) from specialist translation models (LTMs) could concentrate that budget entirely on reasoning — potentially getting more capability out of smaller models.
Also has implications for modular local AI deployment, multi-agent efficiency, and deterministic code generation.
Full paper with DOI: https://doi.org/10.5281/zenodo.19192921
Feedback welcome.
#technology
The core idea: current LLMs waste parameter budget on multilingual representation, grammar, and style overhead. Separating the reasoning core (LSM) from specialist translation models (LTMs) could concentrate that budget entirely on reasoning — potentially getting more capability out of smaller models.
Also has implications for modular local AI deployment, multi-agent efficiency, and deterministic code generation.
Full paper with DOI: https://doi.org/10.5281/zenodo.19192921
Feedback welcome.
#technology
| 4,000 mlx | |
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