Build an LLM from Scratch 5: Pretraining on Unlabeled Data

This chapter focuses on pre-training large language models (LLMs), specifically implementing the GPT architecture. It covers data loading, text generation, evaluation of generative models, and the integration of techniques like temperature scaling and top K sampling to enhance text generation. Finally, it demonstrates loading pre-trained weights from OpenAI for improved performance.