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Het lijkt erop dat deze dienst tijdelijk niet beschikbaar is
I will customize ai agents, local llm, and rag solutions in python
Diane Holder
Over deze dienst
I will build your Private Sovereign AI Infrastructure: Local LLM, RAG, & Agents
Stop paying the "AI Tax." Most businesses leak sensitive data to cloud APIs while paying thousands in monthly subscriptions. I specialize in Sovereign AIproduction-grade, local ecosystems that run entirely on your hardware with zero API costs and zero data leaks.
What You Get:
- Local LLM Deployment: Ill install Llama 3, Mistral, or DeepSeek optimized for your GPU (NVIDIA/Mac). 100% private, zero-latency, and subscription-free.
- Full-Stack RAG Pipeline: Chat with your data. Ill set up a Local Vector Database (ChromaDB) and UI to query your private PDFs, CSVs, and SQL records securely.
- Autonomous Agent Swarms: Using CrewAI, Ill architect a "digital workforce" of specialized agents to handle complex business logic and multi-step workflows autonomously.
- Custom Python Automation: One bespoke script to bridge your local AI with your existing file systems for immediate ROI.
Why Sovereign? Total data residency, infinite scalability without token costs, and no "safety filters" blocking your work.
Message me for a hardware audit today. Let's build your million-dollar infrastructure.
Maak kennis met Diane Holder
Diane Holder
Automation
- Afkomstig uitVerenigde Staten
- Lid sindsjun 2025
Talen
Engels, Spaans
Sovereign AI Architect | Infrastructure & Private Intelligence
I end your dependence on cloud-AI subscriptions and "AI Taxes." I architect Sovereign AI Systems—production-grade, local environments that turn your hardware into a private intelligence asset. 100% data residency. Zero API costs.
Strategic Expertise:
Bare-Metal Deployment: Optimizing Llama 3/DeepSeek on RTX & Apple Silicon.
Private RAG: Turning proprietary data (SQL/PDF/CSV) into secure knowledge bases.
Autonomous Swarms: CrewAI orchestration for complex, 24/7 business logic.
Own your intelligence. Message me to audit your stack.
Veelgestelde vragen
what exactly is sovereign AI and why do I need it?
Sovereign AI means owning your intelligence instead of renting it. I build systems that run on your hardware or private cloud. no data leaves your network, and you pay zero monthly API fees. Its is total control over your data and your digital future.
Do I need $10,000 server to run local LLMs?
No. Using quantized (GGUF/EXL2), I optimized models like llama 3 to run on consumer hardware. An RTX 3060/4060/5060 with 8GB VRAM is plenty for high speed private assistant. I specialize in making 'heavy' models runs on lean, efficient machines.
Can the AI securely read my private company documents?
Yes. I use RAG(Retrieval-Augmented Generation) to create a local "vector database". The AI searches your PDFs, CSVs, or SQL files in real-time. your data never touches the internet and is used to train public models. it remains 100% private.
What is the difference between RAG and Fine-Tuning?
RAG is like an "open-book exam"- the AI looks up facts in your data. Fine tuning is "brain surgery"- it changes the AI's personality or specialized jargon. RAG is nest for accuracy; Fine-tuning is best for a unique voice. I provide both to ensure total system synergy.
is this cheaper that ChatGPT plus or APIs?
Long-term, absolutely. While there is an upfront cost, your "per-message" cost becomes $0.00. For high-volume businesses, a sovereign setup is usually what pays for itself in 3-6 months by eliminating recurring subscription traps and vendor lock-in.
How do you deliver the final product?
I provide a "Sovereign Container" via Docker. No complex installs or driver headaches. you get a one-click setup script and a professional README. Run the script, and the AI launches in your browser as a private, secure web app.
will you help me with the initial set-up?
Every package includes a detailed guide. For standard and premium tiers, I Offer a 1-on-1 remote session to optimize your enviornment for your specific GPU and VRAM, ensuring you get the highest tokens per second performance possible.
