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I will fine tune ai models on custom dataset for better accuracy and domain performance
Yousaf K
About this gig
Generic AI gives generic results. I fine-tune AI models on YOUR data to achieve higher accuracy, better consistency, and domain-specific performance.
AI Fine-Tuning Services
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Custom Model Fine-Tuning
GPT-4o-mini, GPT-3.5, LLaMA 3, Mistral, Falcon, Phi, and other open-source models.
Domain-Specific Training
Legal, Medical, Finance, Customer Support, E-Commerce, Real Estate, Technical, and more.
Improve Model Performance
Reduce hallucinations, increase accuracy, improve response consistency, and align outputs with your business needs.
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Dataset Preparation
Data cleaning, formatting, deduplication, augmentation, and JSONL dataset creation.
Deployment & Evaluation
Model testing, benchmarking, deployment support, and performance comparison.
What You'll Receive
- Fine-tuned AI model
- Evaluation report
- Cleaned training dataset
- Inference code & deployment guide
- 7-day support
Send me your dataset and use case, and I'll recommend the best fine-tuning approach for your project.
Get to know Yousaf K
Yousaf K
Senior Full Stack Engineer
- FromPakistan
- Member sinceJun 2026
Languages
Urdu, Punjabi, English, Hindi
I am a top talent passionate about solving real-world problems—not just writing code. I have delivered a wide range of applications, including AI-powered platforms, helping clients improve productivity, automate operations, and accelerate growth. I focus on impact, adaptability, and results.
FAQ
What data do I need to provide?
You need input-output example pairs relevant to your task (e.g., customer question + ideal answer). Minimum 50–100 examples works for basic tasks; 1,000+ examples gives the best results. I can also generate synthetic training data if needed.
Which models do you fine-tune?
OpenAI models (GPT-3.5-turbo, GPT-4o-mini), Meta LLaMA 3, Mistral 7B/8x7B, Falcon, Phi-3, Gemma, and other open-source models — via HuggingFace or direct training.
What if my data is messy or unformatted?
No problem! Standard and Premium packages include full dataset preparation — cleaning, deduplication, formatting, and JSONL conversion. I handle everything.
How much performance improvement can I expect?
Typically 30–80% improvement in task-specific accuracy compared to the base model. The exact gain depends on data quality and task complexity — I show you benchmarks as proof.
Do I own the fine-tuned model after delivery?
Yes! You receive full ownership — the fine-tuned model weights (for open-source models) or your OpenAI fine-tune ID. No restrictions, no ongoing fees to me.
