A 800GB dataset specifically designed for training LLMs.

: This initial step breaks down raw text into smaller units called tokens (words or sub-words) using methods like Byte-Pair Encoding (BPE). Vocabulary Creation

: Adding information about the order of words since Transformers process data in parallel.

: Coding self-attention, multi-head attention, and causal masks from scratch.