root@fr:~$ lexique/entrainement

Entraînement

Models

The phase where a model learns its parameters from very large volumes of data, a compute effort reserved to a handful of global players. Owning your AI does not mean training your own model: you start from an already trained open-weight model, adapt it through fine-tuning and run it yourself.

Also called Training, Pré-entraînement, Pre-training

Related terms

Inférence

Models

Running an already trained model: it receives a request and produces its answer, token by token. It is the phase that runs day after day and carries the...

Fine-tuning

Models

Light retraining of a pre-trained model on your own data or business domain, to adjust its behaviour and vocabulary. On an open-weight model it runs on your...

Modèle open-weight

Models

An AI model whose weights are released and can be downloaded, run and adapted on your own infrastructure. It enables self-hosting and execution sovereignty,...

Does this notion touch your business?

Go from definition to deployment: a first agent on your data, in France, on a model you control end to end.

The right model Let's talk about your AI