I will build, fine tune, train, and deploy a custom llm or ai model
Your MVP Live, SaaS Developer, AI Agents, Trading Bots, Discord Bots developer
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
A generic AI model doesn't know your business. It gives generic answers, misses your specific data, and sounds like everyone else's chatbot. That's not a model problem, it's a training problem. That's exactly what we fix.
We build, fine tune, train, and deploy a custom LLM or AI model shaped around your actual data and use case, not a one size fits all setup. Whether you're starting from GPT, Llama, or another base model, we take it from raw dataset to a production ready system.
What you get:
- Custom fine tuning of your chosen model (GPT, Llama, or similar)
- Full dataset preparation, cleaning, and structuring
- LoRA / QLoRA fine tuning for efficient, cost effective training
- Deployment with a working API endpoint
- RAG and vector database setup for business specific knowledge
- Testing and accuracy validation before delivery
Why work with us:
- We handle the full pipeline, not just one step
- We explain tradeoffs in plain language before you commit budget
- We test for real accuracy, not just a demo run
- We stay available after deployment if adjustments are needed
Message us with your data and goal, and we'll walk you through the right path before you spend a cent.
My Portfolio
FAQ
What is LoRA or QLoRA and why does it matter?
They're efficient fine tuning methods that adjust a model without retraining the entire thing. This means faster training, lower cost, and less compute needed, without sacrificing quality for most business applications.
What kind of dataset do I need to provide?
Whatever data reflects what you want the model to learn, documents, past conversations, product data, FAQs, or industry specific text. If your data isn't clean or structured yet, we handle preparation as part of the package.
How much data is enough to fine tune a model?
It depends on your use case, but even a few hundred well structured examples can produce meaningful results. We'll assess your dataset after you order and tell you honestly if it's enough or what's missing.
Where will the model be deployed?
We deploy via API endpoint so it plugs into your existing app, website, or system. Hosting details (cloud provider, server) can be discussed based on your setup and expected usage.
Can you fine tune open source models instead of GPT?
Yes. Llama, Mistral, and other open source models are supported, often preferred for cost control and data privacy since you're not sending data to a third party API.

