Large language models (LLMs) training is a term used in the fields of artificial intelligence, big data, smart data and digital transformation. It describes the process in which computer programmes, so-called large language models, are "fed" with enormous amounts of text data. The aim is for these programmes to understand and process human language and even generate texts independently.
Imagine having a huge digital dictionary that not only knows words, but also recognises their contexts and meanings by constantly reading and learning from hundreds of books, websites and articles. This is exactly what happens with Large Language Models (LLMs) training: the model learns from the data in order to answer questions, write texts or hold conversations later on.
An illustrative example: chatbots on websites are often based on such trained language models. They analyse your request and respond to it as if you were talking to a human being. Without the extensive Large Language Models (LLMs) training, such applications would not be possible, because it is only through this training process that the language models really become useful in everyday life and in companies.
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