A step-by-step guide on training a new language model from scratch is provided by Hugging Face. The process involves using the Transformers library, which is a popular open-source implementation of transformer models, and Tokenizers, a library for tokenizing text data. The authors explain how to prepare data, fine-tune pre-trained models, and evaluate the performance of the trained model. They also discuss how to use these techniques in real-world applications. --- Why it matters: This matters because training language models from scratch can be a crucial step in developing custom AI solutions for specific industries or tasks. By following this guide, researchers and engineers can create tailored models that outperform pre-trained ones on their particular problem domain. Source: https://huggingface.co/blog/how-to-train