AI glossary
What is an LLM?
A large language model (LLM) is an AI system trained on vast amounts of text to predict and generate language, enabling it to write, summarise, answer questions, translate and reason over natural language.
LLMs power tools like ChatGPT, Claude and the AI features increasingly built into software. At their core they predict the most likely next piece of text given everything so far — but trained at huge scale, that simple mechanism produces models that can draft, explain, classify and converse remarkably well.
Their strengths are language tasks: generating and rewriting content, summarising, extracting structure from messy text, and answering questions. Their limits matter too — they can hallucinate, they only know their training data unless you give them more (see RAG), and output quality depends on how you prompt and constrain them.
Flowdira integrates the latest LLMs into client products — choosing the right model for the task, grounding it in your data, and wrapping it in the guardrails that make AI features dependable rather than a gimmick.
Common questions
Which LLM is the best?
Can an LLM use my company's data?
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