Removing repetitive content to prevent overfitting.
For a general-purpose LLM, you need a massive dataset (terabytes of text). Common sources include: build a large language model from scratch pdf full
Most resources on LLMs fall into two traps: they are either too high-level (focusing on API usage and prompt engineering) or too academic (focusing on dense mathematical theory). This manuscript strikes a perfect middle ground. It guides the reader through coding a GPT-style model line-by-line using PyTorch. Removing repetitive content to prevent overfitting