This guide provides information for SEOs on large language models and natural language processing. It explains the difference between supervised and unsupervised machine learning, and how natural language processing breaks down text into numbers. Large language models (LLMs) are neural networks trained on various datasets, making them more generalized than other machine learning projects. Transformers are a breakthrough technology in NLP and have revolutionized the field. Instead of processing text sequentially like previous models, transformers can process words in parallel using self-attention. GPT is a language model that uses transformers to generate natural language text, trained on a massive amount of text from the internet.

source: An SEO’s guide to understanding large language models (LLMs)