What is Large Language Models?
Large Language Models
They are advanced artificial intelligence models that are trained with huge amounts of data, understand human language and can produce text.
Overview
These models learn the structure of the language by reading huge piles of data such as books, articles and codes on the internet. Thanks to their ability to predict the next word, they can build complex sentences, answer questions and write texts. They are considered one of the fundamental building blocks of the world of artificial intelligence.
How it works
They are first trained on a huge dataset, then made safer and more useful with human feedback. When you ask a question, they create the most logical answer using the language patterns they have learned.
Where it is used
They are used in chatbots, text summarization tools, coding aids, and translation applications.
Commonly confused with
It is the same concept as the term LLM, but this term is the unabridged version.
Frequently asked questions
Is every major model an artificial intelligence?
Yes, but not every AI is a big language model; Artificial intelligence covers a much broader area.
How do these models learn?
They learn the probabilities of words following each other by analyzing statistical relationships between billions of sentences.
Related terms
Related tools
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →