How much does lLM Fine-Tuning & Evaluation Services cost?

LLM Fine-Tuning & Evaluation Services starts at $5,200 for a typical engagement. The final price depends on scope, existing code and integrations — send the brief through the form and you get a fixed-scope quote, usually within one business day.

How long does it take?

A typical lLM Fine-Tuning & Evaluation Services engagement runs 4–8 weeks from signed scope to delivery, with something running on a staging URL from the first week.

You do. The repository, deployment pipeline and hosting accounts are yours from day one, and intellectual property transfers on final payment. There is no platform to stay locked into.

Every engagement includes: Evaluation set built from your data before any training run; Prompt-and-retrieval baseline measured first, in writing; Dataset curation, labelling guidelines and deduplication.

Send the enquiry form on this page or email bilgisam@gmail.com with a short description of the problem. You get a reply within one business day, a free scoping call, and a written proposal before any invoice.

🎯 AI & Machine Learning

LLM Fine-Tuning & Evaluation Services

Fine-tuning only where it beats a better prompt, proven with an evaluation set before you commit budget.

Starting at: $5,200
Typical delivery: 4–8 weeks
Engagement: Fixed scope
Code ownership: Yours

Fine-tuning is often the expensive answer to a prompting problem. We start by building the evaluation set and measuring what a strong prompt plus retrieval already achieves — sometimes the project ends there, cheaper than it started.

When tuning genuinely wins, you get the dataset, the training pipeline and the eval harness, so the next iteration does not require us.

What you get

Evaluation set built from your data before any training run
Prompt-and-retrieval baseline measured first, in writing
Dataset curation, labelling guidelines and deduplication
Training and eval pipeline handed over, reproducible
Cost-per-task comparison across the options tested

Who this is for

Teams with a narrow, high-volume task and quality that general models miss.

Tools and technologies

Python PyTorch Hugging Face Weights & Biases Bedrock

How it runs

Scoping call
45 minutes with the engineer who would do the work, within one business day of your enquiry.
Written proposal
Scope, price, timeline and exclusions in writing. No invoice until you approve it.
Weekly delivery
Staging URL from week one, in your repository and your cloud account.
Handover
Documentation, walkthrough and 30 days of post-launch bug fixing included.