ELI5: large language models
// explanation
What is a large language model?
A large language model is a really smart computer program that learned to understand and write words by reading billions and billions of sentences from books, websites, and articles [1][2]. Think of it like a student who read almost everything in the world's biggest library and now can answer questions and write stories about almost any topic.
Why can it understand language so well?
The model learned patterns about how words fit together by seeing millions of examples [3][4]. It's like how you learned that "the cat sat on the mat" makes sense, but "mat the sat cat on the" doesn'tโexcept this computer learned millions of these patterns, so it's really good at predicting what word should come next.
What can it actually do?
Large language models can answer questions, write stories, translate languages, summarize information, and have conversations that sound like they're coming from a real person [2][5]. They're the technology behind AI chatbots like ChatGPT that can help you with homework, writing, coding, and lots of other tasks.
How does it come up with answers?
When you ask it a question, the model uses all those patterns it learned to guess what the best next word should be, then the word after that, building your answer one word at a time [4][5].
// sources
A large language model (LLM) is a neural network trained on a vast amount of text for natural language processing tasks, especially language generation.
Large language models are AI systems capable of understanding and generating human language by processing vast amounts of text data.
Large language models, also known as LLMs, are very large deep learning models that are pre-trained on vast amounts of data.
Dec 13, 2024 ... Large language models (LLMs) are a type of artificial intelligence designed to understand and generate human-like text based on the input theyย ...
Large language models (LLMs) are deep learning algorithms that can recognize, summarize, translate, predict, and generate content using very large datasets.
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