Large Language Model
Also known as LLM, LLMs
A large language model is a neural network trained on very large amounts of text to predict language, which allows it to answer questions, summarise, translate, write and reason over documents.
Why It Matters
Language models are the interface through which most people meet AI, and they are becoming a route by which readers reach, or fail to reach, published journalism.
Related Terms
- Foundation ModelA foundation model is a large model trained on broad data that is then adapted to many different tasks, rather than built for a single purpose.
- Generative AIGenerative AI describes models that produce new content, such as text, images, audio, video or code, from a prompt, rather than only classifying or predicting from existing data.
- Context WindowThe context window is the amount of text a model can take into account at once, covering the prompt, any documents supplied with it and the answer being written.
- InferenceInference is the act of running a trained model to produce an output: the answer, image or prediction a user actually receives, as distinct from the training that created the model.
- AI HallucinationA hallucination is a confident, fluent output from an AI system that is not supported by its sources or by fact.
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