What is a large language model?
A large language model (LLM) is a type of AI model trained on enormous datasets of text. LLMs learn patterns in language and can generate coherent, contextually appropriate text, answer questions, summarize documents, translate languages, and write code.
How are LLMs trained?
LLMs are trained through a process called unsupervised learning on massive text corpora from books, websites, and other sources. They learn statistical relationships between words and concepts. Additional techniques like reinforcement learning from human feedback (RLHF) refine their outputs.
Capabilities and limitations
LLMs can generate text, answer questions, translate languages, and assist with coding. However, they can produce incorrect information ("hallucinations"), may reflect biases in their training data, and lack true understanding of the content they generate.