In plain English
The abbreviation is used interchangeably with the full term. Large refers both to the training data and to the number of parameters the model holds.
Three properties account for most of what you need to know in practice: it predicts rather than looks up, it works within a context window, and it produces plausible text whether or not it is correct.
What to know
Why it matters
The abbreviation appears in every AI discussion, and knowing what each word in it means prevents the most common misunderstanding: expecting recall from something built to predict.
Common mistakes
FAQs
Is a bigger LLM always better?
No. Fit for the task, cost and latency usually matter more than size.
Are all AI chat tools LLMs?
Most text-based ones are, often with retrieval and tools attached.
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