Category · AI

LLM (Large Language Model)

Large-scale language model trained on massive text corpora.

GPT-5, Claude Sonnet 4.7, Mistral Large, Gemini, Llama. Produces coherent text by completing a prompt. Strengths: open-ended generation, simple reasoning. Weaknesses: factual hallucinations, inference cost, training bias, knowledge frozen at cutoff date.

// In action with our clients

Client cases

/10European bank: hybrid RAG, inference cost cut tenfold.
−70%Global insurer: 80,000 claims/month, −70% processing time.

IAAI agents in production: avoiding the demo theatre.
IARAG in production: from €10,000 to €900 per month.

// See also

RAG (Retrieval-Augmented Generation)
AI architecture that combines document retrieval with LLM generation.
Fine-tuning
Continuing training of an LLM on a specific dataset.
Inference
Running an AI model on demand (as opposed to training).
Token
Text chunking unit for an LLM (~0.75 word in English).

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