0xbitcoiner

The world of Large Language Models (LLMs) is witnessing a paradigm shift, one that could redefine the very fundamentals of how these models are structured and operated. In this article, we delve into a groundbreaking development in the field: the advent of 1.58-bit LLMs. This innovation challenges the conventional norms of deep learning and opens up new avenues for efficiency and accessibility.

science

# [No More Floating Points, The Era of 1.58-bit Large Language Models](https://medium.com/ai-insights-cobet/no-more-floating-points-the-era-of-1-58-bit-large-language-models-b9805879ac0a)

https://miro.medium.com/v2/resize:fit:720/format:webp/1*Skb5lzSS3JUlxnw2jmANSg.png

> The world of Large Language Models (LLMs) is witnessing a paradigm shift, one that could redefine the very fundamentals of how these models are structured and operated. In this article, we delve into a groundbreaking development in the field: the advent of 1.58-bit LLMs. This innovation challenges the conventional norms of deep learning and opens up new avenues for efficiency and accessibility.
>
> ### [... read more](https://medium.com/ai-insights-cobet/no-more-floating-points-the-era-of-1-58-bit-large-language-models-b9805879ac0a)

No More Floating Points, The Era of 1.58-bit Large Language Models No More Floating Points, The Era of 1.58-bit Large Language Models

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No More Floating Points, The Era of 1.58-bit Large Language ModelsNo More Floating Points, The Era of 1.58-bit Large Language Models

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No More Floating Points, The Era of 1.58-bit Large Language Models No More Floating Points, The Era of 1.58-bit Large Language Models

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