LLM (Large Language Model)
Massive language model trained on billions of texts, capable of understanding and generating natural language fluently.
Massive language model trained on billions of texts, capable of understanding and generating natural language fluently.
Définition détaillée
A Large Language Model (LLM) is an AI model based on the Transformer architecture, trained on massive text corpora (billions of tokens). It learns statistical language patterns: syntax, semantics, context, nuances. Modern LLMs (GPT-4, Claude, Llama 3, Mistral) excel at understanding, generation, translation, summarization, and reasoning. Their size (from 7 to over 400 billion parameters) determines capability and inference cost.
Cas d'usage
Customer service virtual assistant: an LLM fine-tuned on your knowledge base instantly answers customer questions with a first-contact resolution rate above 80%.
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Questions fréquentes
What is the best LLM in 2026?
The choice depends on your use case: GPT-4o for versatility, Claude 4 for document analysis, Llama 3 for local deployment, Mistral Large for European sovereign needs.
How much does it cost to use an LLM?
Costs range from free (open-source models locally) to thousands of euros per month for large-scale API calls. We optimize with fine-tuning and caching.