https://lesitedefrancois.be/en/tags/nlp/Recent content in Nlp on Le Site de FrançoisHugo -- gohugo.ioen© 2026 Françoishttps://lesitedefrancois.be/en/ai/llm/Mon, 01 Jan 0001 00:00:00 +0000https://lesitedefrancois.be/en/ai/llm/<p>An <strong>LLM (large language model)</strong> is a deep neural network—almost always a <strong>Transformer</strong>—trained on large amounts of text (and sometimes multimodal data) to model the probability of the next token given prior context. Its objective at <strong>training</strong> time is to minimize prediction error over billions of tokens, producing weights that encode grammar, facts (with limitations), reasoning patterns, and task-following behavior after alignment or instruction tuning. At <strong>inference</strong> time the same model <strong>generates</strong> completions, answers questions, summarizes documents, or drives agents; production systems expose it through APIs (often OpenAI-compatible) backed by engines such as <strong>vLLM</strong> or <strong>NIM</strong>. LLMs power chatbots, code assistants, RAG pipelines, and enterprise copilots.</p>