Large Language Models are capable of understanding and generating text. You can use this technology to let it predict answers to questions, do creative writing (like headlines, blog posts etc), translate text, or generate summaries of text. You can also use it to let it generate, translate or debug code.
LLMs are generally speaking trained on huge amounts of text data sometimes even on petabytes scale. Text-generating AI, learned the relationships between sentences, words and parts of words by ingesting huge amounts of content from the web, including hundreds of thousands of Wikipedia entries, social media posts and news articles.
LLMs are self-supervised which means it's a machine learning algorithm, that does not require human annotated data (labeling) as in the first stage it generates those labels itself, and then in a later stage it is using these generated labels.
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