{"id":36073,"date":"2025-08-29T08:21:36","date_gmt":"2025-08-29T08:21:36","guid":{"rendered":"https:\/\/www.seobility.net\/?post_type=wiki&p=36073"},"modified":"2026-03-20T12:31:44","modified_gmt":"2026-03-20T12:31:44","slug":"llm-large-language-models","status":"publish","type":"wiki","link":"https:\/\/www.seobility.net\/en\/wiki\/llm-large-language-models","title":{"rendered":"Large Language Models (LLMs)"},"content":{"rendered":"

What is a Large Language Model?<\/h2>\n

A Large Language Model (LLM)<\/strong> is an advanced computer program that has been trained to understand and create human-like text<\/strong>. It learns from huge amounts of text data (like books, websites, and articles) and can do many tasks involving language such as answering questions, writing text, or summarizing information.<\/p>\n

Most LLMs today are built using a special type of AI technology called a transformer model<\/strong>, and they often have billions (or even trillions) of settings called parameters<\/strong> that help them understand language.<\/p>\n

For example, the tool ChatGPT<\/a> is based on an LLM:<\/p>\n

\"Screenshot
Screenshot of https:\/\/chatgpt.com\/<\/a><\/figcaption><\/figure>\n

How do LLMs work?<\/h2>\n

Transformers: The technology behind LLMs<\/h3>\n

LLMs use something called the transformer architecture<\/strong>, which was introduced in 2017.[1]<\/a><\/sup> This technology helps the model understand the meaning of words in a sentence by looking at how they relate to each other. It also allows the model to process large amounts of text quickly and accurately.<\/p>\n

Scaling laws: Bigger models work better<\/h3>\n

Researchers have found that LLMs usually perform better when they are larger and trained with more data and computer power. This is known as a scaling law<\/strong> \u2013 the idea that bigger models with more training tend to be more accurate and useful.[2]<\/a><\/sup><\/p>\n

How are LLMs trained?<\/h3>\n

LLMs go through several steps during training:<\/p>\n