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Avanturin
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After assessment

Model adaptation and fine-tuning

Tuning a model to your style and data when prompts are not enough.

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What it is

We first check whether prompts and RAG are enough. If not, we prepare the data, fine-tune and compare with the original model.

Typical problem

The model consistently gets your subject area wrong, and prompts do not help.

What you get

  • Dataset preparation
  • Training and versions
  • Comparison with the base model

Who it is for

  • Medium-sized businesses
  • Large companies
  • Startups and founders

Related services

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Questions

Will the AI make mistakes?

Yes, any model sometimes gets things wrong. That is why we measure quality on your examples, show the sources of each answer and pass disputed cases to a person.

Where does our data go?

This is decided before work starts: an external API with suitable terms, a private cloud or a model on your own server. The choice depends on how sensitive the data is.

Which model do you use?

We choose for the task and budget, and build the architecture so the provider can be changed.

Tell us what needs to be built

We will tell you whether it can be done, how and roughly for how much. No obligation.

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