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03 / 10

AI Models & Fine-Tuning

Specialized models for tasks where a general-purpose model is not enough.

How it works

Task → Data → Tuning → Evaluation

01 Base model02 AdaptedTask data03 Tested on the taskAdopted only if it passes

The problem

A general-purpose model is not always the right fit for cost, speed or domain.

What we do

  1. 01

    Check whether customization is warranted at all.

  2. 02

    Adapt and fine-tune models, including small language models.

  3. 03

    Evaluate against tests written for the task.

What it covers

  • Model customization
  • Fine-tuning
  • Small Language Models
  • Task-specific AI
  • Inference optimization
  • Model evaluation
  • AI pipeline development

Where it fits

  • Domain-specific extraction
  • Consistent output formats
  • Cost-sensitive workloads
  • Constrained environments

Examples of fit, not a client list

Next service · 04Intelligent Vision Systems

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