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Are you worried about data privacy when using ChatGPT? In this video, I’ll show you step-by-step how to set up a private Large Language Model (LLM) on your own machine! 🖥️🔐 ✅ No API fees ✅ No data leaks ✅ Full control over your data 📌 What You’ll Learn: 🔹 How LLMs work & why running one locally is a game-changer 🔹 Hardware requirements & setup guide (GPU, RAM, storage) 🔹 Installing & running OpenWebUI for a user-friendly AI chatbot 🔹 Downloading and configuring Ollama models (like DeepSeek-R1) 🔹 Enhancing your AI with your own private data for better answers 🔗 Resources & Links: 🔹 My website: https://nextlevelrobot.com 🔹 Fiverr: https://www.fiverr.com/nextlevelrobot 🔹 I build and deploy your private LLM: https://www.fiverr.com/s/Gz2RNr0 🔹 OpenWebUI: https://github.com/open-webui/open-webui 🔹 Ollama models: https://ollama.com/library 🔹 Transformer explainer: https://poloclub.github.io/transforme... 💡 If you found this useful, subscribe for more AI & automation tutorials! Let me know in the comments if you need help setting up your private chatbot. #ai #privacy #chatbot #llm #selfhosted #chatgpt #deepseek #retrievalaugmentedgeneration ⏳ Timestamps: 00:00 Intro 00:17 Running your own Private Chatbot 00:48 Final Result 01:05 What is a Large Language Model? 01:31 Data Privacy 01:58 Hardware Requirements 02:26 OpenWebUI 02:38 Installation 03:15 Running OpenWebUI 03:56 Download Deepseek-R1 as your first Ollama Model 04:37 Asking a Challenging Reasoning Question 05:41 Direct Chat Model without Reasoning 06:02 Connecting your own Private Data 07:31 More Features 08:05 Outro