Translated Data: Recently, a practical guide has been published to instruct developers on how to construct a GPT model using just 60 lines of code, delving into the fundamentals of the era of large-scale models. GPT, as a generative pre-trained Transformer neural network architecture, has become a core component of AI with extensive applications. By reducing the number of training parameters, GPT can be utilized for various text generation tasks, including composing emails, summarizing books, and writing code. The steps to build a GPT model involve operations such as integer representation of tokens, text decomposition, and prediction probability. For detailed information, please refer to the original article link.