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#173 - Gemini Pro, Llama 400B, Gen-3 Alpha, Moshi, Supreme Court

Last Week in AI

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Revolutionizing AI with Ternary Models

This chapter explores a pioneering study that suggests replacing traditional matrix multiplication in large language models with a ternary approach using only values of negative one, zero, and one. The authors introduce a new architecture that relies on addition, significantly reducing memory requirements while achieving performance levels comparable to existing models. The discussion also raises the necessity for further research to validate this innovative method's scalability.

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