论文简述:在这篇名为Llemma: An Open Language Model For Mathematics的论文中,作者们提出了一种名为Llemma的大型语言模型,用于解决数学问题。为了实现这一目标,他们继续对Code Llama进行预训练,该模型基于科学论文、包含数学内容的网络数据和数学代码的组合。经过这样的预训练后,Llemma在MATH基准测试上的表现优于...
Zhangir Azerbayev,Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q Jiang, Jia Deng,Stella Biderman, and Sean Welleck. "Llemma: An open language model for mathematics" InMath-AI Workshop @ NeurIPS, 2023.
There is growing evidence that pretraining on high quality, carefully thought-out tokens such as code or mathematics plays an important role in improving the reasoning abilities of large language models. For example, Minerva, a PaLM model finetuned on billions of tokens of mathematical documents ...
This paper provides an overview of existing approaches, conceptual sketches of the language in development and documents the current state of implementation as a prototype plugin developed for the open source model server platform bimserver.org. We report on the execution of example test-cases to ...
This article presents a review of important recent themes and developments in research on the learning and teaching of mathematical knowledge and thinking. As a framework we use a model for the design of powerful environments for learning and teaching mathematics that is structured according to four...
原文链接:《TinyLlama: An Open-Source Small Language Model》全文翻译 Abstract 我们推出了 TinyLlama,这是一个紧凑的 1.1B 语言模型,在大约 1 万亿个令牌上进行了大约 3 个时期的预训练。 TinyLlama 基于 Llama 2(Touvron 等人,2023b)的架构和标记器构建,利用开源社区贡献的各种进步(例如 FlashAttention(Dao,...
An open letter to the Chinese languageDear Chinese Language,I ought to begin by clarifying my understanding of our relationship. I have not had my happiest days working at you; indeed, my best efforts to learn you have, by and large, been frustrating and fruitless....
Paper:Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research这篇论文介绍了一个名为Dolma的数据集和数据处理工具包,旨在促进语言模型预训练的研究。作者发现现有的商业语言…
The RL policy function takes the state and returns the probability of an action, p(a|s). This function is implemented by a Transformer (the middle part in the above diagram) because the Transformer seems to have the right inductive bias for this task. The problem is that the Transformer ...
see that it is functionality that matters more for mathematics than transparency, since functionality is what ensures that calculations can proceed. Failure of substitutivity because of logic is not such a weighty matter, while both functionality and its failure are of greater moment for mathematics....