Large language model (LLM)
A large language model is an AI model trained on large volumes of text that processes and generates natural-language text.
At their core, LLMs predict the most probable next piece of text. This simple principle yields broad applicability: summarising, classifying, translating, extracting data from unstructured text and holding conversations.
Well-known model families come from OpenAI, Anthropic, Google, Meta and Mistral, among others. They differ in capability, cost and operating model — from purely cloud-based services to models that can be run in your own data centre.
For enterprise use, two questions are central: where the data is processed, and where the model gets its knowledge. In practice the second question almost always leads to retrieval-augmented generation.
AI in mid-sized companies: use cases that actually pay off
Less hype, more arithmetic: which AI applications deliver measurable value in mid-sized companies, why projects fail and what a sensible start looks like.
Read the article →Related service
Let's talk about your project.
Free initial consultation, 30–45 minutes, remote. An honest assessment — even if the answer is that you don't actually need it.