Building templates

In the previous lesson, you saw how you can use templates to encode exact role sequences and reject anything that doesn't match.

However, at the end, you were left with files that were rejected by every template. Here, you'll work with an LLMiGo to glossary for large language model (opens in a new tab)A model trained on text to predict the next token, and so to generate language. to define some new templates that cover the edge cases from the previous lesson.