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I will fine tune an llm on your custom data
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À propos de ce service
LLM Fine-Tuning & Custom AI Development
LoRA/QLoRA fine-tuning, RAG pipelines, and agentic workflows built for production.
What I offer:
- LLM Fine-Tuning: LoRA/QLoRA fine-tuning on Llama, Mistral, and other open-source models using your custom dataset
- RAG Integration: Connect any LLM to your private data via Pinecone or Weaviate for accurate, hallucination-free responses
- Agentic Workflows: Autonomous AI agents that handle multi-step tasks without manual intervention
- Custom ML Models: Neural networks, NLP, and computer vision built to your requirements
- Production Deployment: Containerized Docker deployment on Linux environments, clean code and full documentation included
Built with PyTorch. Delivered with documentation. Ready to deploy.
Have a different AI project in mind? Message me before ordering.
Mon portfolio
FAQ
Can you help with dataset preparation?
Absolutely. I can assist with data cleaning, labeling, and augmentation. If your dataset is small, I can implement synthetic data generation to ensure the model has enough variety to learn effectively.
Which models do you specialize in fine-tuning?
I primarily work with open-source giants like Llama using PyTorch, as well as fine-tuning proprietary models via OpenAI/Anthropic APIs. I focus on efficient methods like PEFT and QLoRA to save you compute costs.
Will the model be ready for production?
Yes. Unlike many who provide just a Jupyter Notebook, I can provide a production-ready FastAPI wrapper and a Dockerfile for easy deployment on any Linux environment.
Do you offer AI Agent development?
Yes, I build agentic workflows using LangChain, allowing the AI to interact with external tools, APIs, and databases to perform real-world actions.
What do I need to provide to get started?
Please provide a clear description of your goal and, if available, your dataset. If you don't have data yet, we can start with a consultation to plan your data collection strategy.
