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What is Mathematical Framework for LLMs about?
This document provides a mathematical overview of large transformer language models (LLMs), focusing on their architecture, training parameters, and the processes of tokenization, embedding, and feedforward layers. It emphasizes the need for a clear mathematical framework to describe LLMs and outlines the steps involved in constructing a vocabulary from a corpus of text. Additionally, it discusses the structure of feedforward neural networks, specifically multilayer perceptrons, and their role in the functi
- Author
- Private
- Language
- EN