I will build a fine tuned ai agent trained on your company knowledge

Italy

I speak English, Italian

AI Apps and Software Dev

I am an operations and stock manager with 19 years of experience in UK logistics and warehousing. I specialize in making operations measurable through Power BI dashboards, WMS administration, and appl...
About this Gig

What a fine-tuned model actually does for you

Fine-tuning teaches a model how to behave how to answer in your format, follow your rules, use your terminology, call your tools, and refuse when it doesn't have the evidence. It does not stuff facts into the model's head. Facts belong in retrieval, where you can update them without retraining. I build it this way deliberately, and it's why the models I deliver stay accurate instead of becoming confidently out of date.

What's included in every package

  • Review of your source material and an honest assessment of whether fine-tuning is the right tool
  • Dataset construction your documents converted into clean training examples
  • QLoRA fine-tune on an open-weight base model (Qwen, Llama or Mistral family)
  • A trained LoRA adapter, delivered as GGUF, ready to run with Ollama
  • A short written summary of what was trained, on what, and how to run it

Scale by package

  • Pilot up to 500 training examples, 78B base model. Built to prove the approach works on your data before you commit to a larger build.
  • Custom Domain Model up to 2,000 examples, up to a 14B base model, packaged with an Ollama Modelfile.
  • Production Specialist up to 6,000 examples, up to a 14B

Programming Language:

Python

AI Model Frameworks & Tools:

Hugging Face Transformers

PyTorch

Data Type:

Text

AI Engine:

Llama

Other

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