Descriptions
Note: Please contact before placing an order to discuss the scope, cost, and timeline of the project!
I offer training for AI models such as LLaMA, GPT, Claude, and Gemini for your SaaS product
Hello! I am the Founder of Complichat (https://www.compli.chat/), with over 6 years of experience in startup and enterprise environments, delivering LLM-powered solutions for various companies. I have completed more than 200 machine learning projects, many of which involved custom-trained large language models specifically designed for SaaS platforms.
Services Provided:
- Fine-tuning open-source models including LLaMA, Mistral, Gemma, and Falcon
- Prompt engineering and Retrieval-Augmented Generation (RAG) setup using GPT-4, Claude, and Gemini
- Training models on your proprietary data (PDFs, documents, Notion, websites, SQL, etc.)
- Multilingual and domain-specific model development
- Integration into your existing technology stack (React, Flask, Node, Vercel, Docker, etc.)
Applications Include:
- Internal AI assistants or customer support agents
- SaaS interfaces featuring smart Natural Language Processing (NLP) capabilities
- AI educational tools, regulatory compliance advisors, and content creation systems
- Context-aware assistants trained using your specific business data
Prioritizing Privacy and Customization.
Unless requested, I do not use black-box APIs. You maintain full control, scalability, and transparency.
Let us discuss your objectives before starting—send a message or schedule a brief consultation.
Skills
Packages
| Packages |
Basic
350€ |
Standard
2,500€ |
Premium
4,505€ |
|---|---|---|---|
| Delivery Time | 7 Days day | 4 Days day | 6 Days day |
| Number of Revisions | 2 | 4 | unlimited |
| Research, Data preprocessing, Model creation, Model testing & optimization, Performance monitoring | _ | _ | |
| Research, Data preprocessing, Model creation, Model validation/testing, Performance monitoring, Fine tuning, Cloud deployment, API integration, Source code, Model documentation | _ | _ | |
| Research, Data preprocessing, Model creation, Model validation/testing, Performance monitoring, Fine tuning, Cloud deployment, API integration, Source code, Model documentation | _ | _ |
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