How LLMs Are Built

Building LLM systems spans more than model architecture; it includes data quality, tokenization choices, training objectives, and deployment trade-offs.

The write-up connects core transformer concepts to practical engineering topics such as efficient training, alignment, and output generation methods.

For production applications, the key insight is that model quality depends on a full pipeline, not a single model checkpoint.