Since Transformers process words in parallel, you must add positional information so the model understands the order of words in a sentence. 2. Coding Attention Mechanisms
Building the model involves stacking various components, typically based on a architecture for generative tasks. Build a Large Language Model (From Scratch) build a large language model %28from scratch%29 pdf
Tokens are converted into numeric vectors (embeddings) that represent the semantic meaning of the words. Since Transformers process words in parallel, you must
Enables the model to relate different positions of a single sequence to compute a representation of the sequence. Since Transformers process words in parallel
Breaking down raw text into smaller units called tokens. Modern models often use Byte-Pair Encoding (BPE) to handle a vast vocabulary efficiently.