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Large Language Models (LLMs)

Large Language Models (LLMs), also known as large language models, are advanced AI models that have been trained on huge amounts of text data to understand and generate natural language. They represent a significant advance in the field of Natural Language Processing (NLP).
LLMs use deep learning techniques, in particular neural networks, to learn patterns and relationships in language. By training on extensive text corpora, they are able to create, translate and summarise texts and answer questions.
 
The functionality of LLMs can be summarised as follows:
  • Training: LLMs are trained on huge data sets taken from the internet, books, articles and other sources.
  • Processing: They analyse input texts in order to understand the context.
  • Generation: Based on the knowledge learnt and the context, they generate new texts.
LLMs are used in various areas, including:
  • Generative AI: They form the basis for generative AI applications that can create texts.
  • Text automation: They can be used to automate content creation processes.
  • Chatbots: They enable the development of intelligent chatbots that can conduct human-like conversations.
  • Machine translation: They can be used to automatically translate texts.
  • Text summary: They can automatically summarise long texts.
LLMs have the potential to fundamentally change the way we deal with language. They make it possible to create, translate and analyse texts automatically, which can increase efficiency and productivity. However, it is important to note that LLMs are not error-free and the generated content should always be checked.