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Large Language Model (LLM)

A Large Language Model (LLM) is an artificial intelligence model trained on immense volumes of text to understand, generate, and manipulate natural language.
LLMs (like those powering ChatGPT, Claude, or Mistral) are capable of writing, summarising, translating, coding, or reasoning. They currently form the foundation of many generative AI applications in business.

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LLM in practice

Business use cases

  • Internal or external chatbots and assistants.
  • Content generation and reformulation.
  • Structured extraction from unstructured text (invoices, contracts, emails).
  • Classification, summarising, translation.
  • Decision support and knowledge base exploration.

How to integrate an LLM

  • Via API (OpenAI, Anthropic, Mistral, Google) - quick start, no infra.
  • Self-hosted open-source (Llama, Mistral) - sovereignty and controlled costs.
  • RAG Architecture - enrich the LLM with the company's proprietary data.
  • Fine-tuning or LoRA - specialise a model on a precise domain (rarely necessary as a first intention).

Caveats

  • Hallucinations - trace sources, continuously evaluate.
  • GDPR and confidentiality - choose the provider based on the use case.
  • Inference cost at scale.
  • Latency - optimise prompts and the orchestration chain.

How Galadrim can support you

See our offers Generative AI and Artificial intelligence.

Client cases using an LLM

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