How I Built My Local Private ChatGPT - And It Talks Back скачать в хорошем качестве

How I Built My Local Private ChatGPT - And It Talks Back

I built a private AI assistant my family can use from any device: no cloud, no servers, just my laptop and Tailscale. ⚙️ What you’ll see: • How to connect LM Studio + Open WebUI through Tailscale • How to run your own local “Personal AI” network that works anywhere • How to enable HTTPS for secure access (docs: https://tailscale.com/kb/1153/enablin...) 🧩 Tools used: • Tailscale — https://tailscale.com/ • Open WebUI — https://openwebui.com/ • Kokoro FastAPI (voice model) — https://github.com/remsky/Kokoro-FastAPI • LM Studio (local LLM interface) — https://lmstudio.ai/ 🧠 Why it matters: Full control of your data, zero subscriptions, and everything runs at home. If you’re exploring this space, you might also enjoy Eclaire: an open-source project that helps connect your personal data to your AI: https://github.com/eclaire-labs/eclaire Want a full step-by-step guide? Check the pinned comment. 💡 If you’re building hardware or tools for running local inference machines at home, I’d love to collaborate or feature your work, get in touch! Chapters: 00:00 Intro 00:28 What we're doing 01:25 Tools 02:57 Setup 06:30 Running it 07:26 Voice 08:26 Why use it 08:51 Mobile 09:15 Outro and Plug 10:21 Future 10:38 Credits