Sense

Large language models refer to AI systems that have been trained with textual data coming from massive books, articles and websites and so on. Using that education, they manage to answer questions, do translations, provide summaries of the material, and sometimes even write new creative texts. Just to illustrate some LLM, here are a few examples.

GPT OpenAI- for example: GPT 4, GPT 5,
Google Bird
Meta-LLaMA
2. So, how does this work? LLM Feed on 

Networks of neurons: Complex system of connected nodes, a bit like in the human brain
Transformers: A certain architecture that's been specifically designed to feed in consecutive data. That's a thing that specifically happens in linguistic tasks.....