Book Description: Build a Large Language Model from Scratch Final Release is a comprehensive guide that takes readers on a journey to build a large language model from scratch using Python programming language. The book covers all aspects of natural language processing (NLP) techniques, including data preprocessing, feature extraction, and model training. It also explores the use of transformers and other advanced techniques to improve the performance of the model. The book begins by introducing the concept of language models and their importance in NLP tasks. It then delves into the basics of Python programming and the necessary libraries required for building a language model. The author provides step-by-step instructions on how to preprocess data, extract features, and train the model using various techniques. As the reader progresses through the book, they will learn about the different types of language models, such as recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and transformers. They will also discover how to implement these models in Python using popular libraries like Keras and TensorFlow. The book concludes with a final project where the reader can apply all the concepts learned throughout the book to build a large language model from scratch.

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