What Are LLMs?
Understand large language models, why they sound fluent, and where they need grounding and verification.
What Are LLMs?
Understand large language models, why they sound fluent, and where they need grounding and verification.
Large Language Models
A large language model, or LLM, is an AI system trained to generate language. It learns statistical patterns across text and uses those patterns to predict useful next words, paragraphs, lists, or code. This is why an LLM can explain a concept, draft an email, summarize a passage, or convert messy notes into a structured plan.
The fluency can be impressive, but fluency is not the same as truth. LLMs can hallucinate, omit context, or create plausible-sounding details. For business use, this means you should ask the model to stay within supplied context, identify uncertainty, and show assumptions.
LLMs are strongest when the task is language-heavy and the answer can be reviewed. They are weaker when the work requires private context they do not have, current facts they cannot access, or final judgment in sensitive situations.