What is an LLM?
An LLM (large language model) is an AI model trained on very large amounts of text to predict the next word, which lets it answer questions, summarise and write. GPT, Claude, Gemini and Llama are well-known families of LLMs.
Also called: large language model
Why it matters
Most AI features a company might buy or build, from a support assistant to document search, run on an LLM. The model you choose affects cost per request, speed, where data is processed and how well it handles Kazakh and your field. A good setup lets you switch models later without rebuilding the product.
1How it worksIt splits text into tokens and predicts the likely next token, one at a time, based on patterns learnt in training.
2InferenceInference means running the trained model to answer a request, usually paid per token through a provider’s API.
3Not the law degreeAt universities, LLM is a Master of Laws degree; in AI, it stands for large language model.
ExampleA recruitment agency in Astana receives many CVs in Russian and Kazakh for each role. An LLM reads every CV against the job description, writes a short summary of each candidate and flags missing requirements. Recruiters still decide who to call for an interview.
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Related terms
AI agentSoftware that uses a language model to plan the steps of a task and carry them out in your tools.RAGA way to make an AI model answer from your own documents by fetching the relevant passages first.Generative AIAI that creates new text, images, audio or code from a prompt, rather than only sorting data.Fine-tuningFurther training of an existing AI model on your own examples so it handles one task in a set way.AI hallucinationWhen an AI model states something false or invented as confidently as if it were a fact.
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