人工神经网络的基础:利用变压器架构探索托尔斯泰的天才思想

Shahriyar Guliyev
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引用次数: 0

摘要

人工狭义智能正处于迈向 AGN 的阶段,它将试图像人类一样做出决定。我们每天都在向它靠近,但对许多人来说,人工智能实际上是不确定的,尽管它在核心上与其他任何一组数学定义的计算机操作并无不同。从预先训练好的模型中生成新数据给科学技术带来了新的挑战。在这项工作中,我们从零开始设计这种架构,解决问题,并引入替代方法。以思想家托尔斯泰为研究对象是整个研究的动力来源。
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Foundations of ANNs: Tolstoy’s Genius Explored using Transformer Architecture
Artificial Narrow Intelligence is in the phase of moving towards the AGN, which will attempt to decide as a human being. We are getting closer to it by each day, but AI actually is indefinite to many, although it is no different than any other set of mathematically defined computer operations in its core. Generating new data from a pre-trained model introduces new challenges to science & technology. In this work, the design of such an architecture from scratch, solving problems, and introducing alternative approaches are what has been conducted. Using a deep thinker, Tolstoy, as an object of study is a source of motivation for the entire research.
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