Model fine-tuning

Adapt model behaviour to a defined business task.

Evaluate fine-tuning for consistent style, classification or structured outputs when prompting alone does not meet the requirement.

For teams in the UAE, Saudi Arabia and across the GCC.

From requirement to implementation

What your project can include

01

Training-data audit and baseline evaluation

Define the inputs, constraints and acceptance criteria with your team.

02

Fine-tuning experiments on supported models

Implement and test against the agreed workflow and representative data.

03

Held-out evaluation, versioning and rollback plan

Make performance visible and prepare your team to operate the solution.

Designed around your environment

Start with the business requirement.

We scope the systems, data access, languages and deployment requirements before choosing models or infrastructure. Arabic and English quality should be tested on your actual terminology and user journeys.

Explore our Middle East approach →

Bring to the discovery conversation

  • The task you want to improve and how you measure it today.
  • Your existing systems and a description of the available data.
  • Required languages, users, hosting region and access restrictions.
  • Your target timeline and an indicative budget range.

Final scope, delivery milestones and ongoing costs are agreed after discovery.

Before you start

A common question

Should we use fine-tuning or RAG?

Use retrieval for changing knowledge and source references. Consider fine-tuning for learned behaviour or output patterns. We evaluate the simplest approach first.

Your next step

Tell us which task is slowing your team down.

Share the use case, your current systems and the outcome you want. We can use that conversation to define a practical first project.