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The Future of AI: Run ChatGPT Locally with Ollama
Run ChatGPT Locally with Ollama
Want to run ChatGPT-style AI completely offline? In this step-by-step tutorial, I’ll show you how to install Ollama, connect it with OpenWebUI, and run powerful open-source models like Mistral, LLaMA 2, Phi, and CodeLlama — all on your Mac, no cloud required. You’ll learn how to: ✅ Install Ollama to run local LLMs (Mistral, LLaMA, Phi, etc.) ✅ Set up OpenWebUI for a clean local chat interface ✅ Upload your own PDF or text files for Q&A ✅ Export chat history as Markdown, PDF, or JSON ✅ Compare models side-by-side and monitor performance Perfect for: 🧠 Building a private research assistant 📚 Summarizing books and papers 🛠️ Coding offline with no API 🔐 Anyone who values privacy and control Whether you’re a developer, researcher, or just AI-curious, this guide will help you set up a local ChatGPT alternative that works fast, respects your privacy, and doesn’t require any OpenAI API key. 📁 Bonus: Everything runs locally, even on a base M1 Mac. No GPU required. No API limits. No cloud. 🔗 Useful Links: 🖇️ Ollama:
🖇️ OpenWebUI:
https://github.com/open-webui/open-webui
🖇️ Mistral AI:
🖇️ LLaMA 2:
🖇️ Docker:
https://www.docker.com/products/docke...
🖇️ Attention is All You Need Paper:
https://arxiv.org/abs/1706.03762
💬 Comment below: What would YOU use a local AI for? 🛠️ Don’t miss the next video: How to scale this into a smart file-searching knowledge base using embeddings and vector search. 🎥 Subscribe + hit the 🔔 to stay updated!