Build a Local AI App in 10 min with Docker (Zero Cloud Fees)
Hey everyone! In this tutorial, I'm showing you how to run large language models (LLMs) on your local machine using Docker. We'll talk about the benefits, including saving on inference costs and having total control over your models. I'll guide you step-by-step on installing Docker Desktop, enabling necessary features, and downloading models. I'll also demonstrate how to set up a basic app that interacts with Docker just like an API from OpenAI or Google. This is perfect for anyone looking to develop AI-powered apps locally. Big thanks to Docker for sponsoring this video! Don't forget to check out the demo app available for download in the description. Have any questions? Drop them in the comments below! ▼ Link(s) From Today’s Video: Docker: https://www.docker.com Demo App: https://github.com/mattvideoproductions/Demo-App ► MattVidPro Discord: https://discord.gg/mattvidpro ► Follow Me on Twitter: https://twitter.com/MattVidPro ► Buy me a Coffee! https://buymeacoffee.com/mattvidpro ------------------------------------------------- ▼ Extra Links of Interest: General AI Playlist: https://www.youtube.com/playlist?list=PLrfI66qWYbW3acrBQ4qltDBsjxaoGSl3I AI I use to edit videos: https://www.descript.com/?lmref=nA4fDg Instagram: instagram.com/mattvidpro Tiktok: tiktok.com/@mattvidpro Gaming & Extras Channel: https://www.youtube.com/@MattVidProGaming Let's work together! - For brand & sponsorship inquiries: https://tally.so/r/3xdz4E - For all other business inquiries: mattvidpro@smoothmedia.co Thanks for watching Matt Video Productions! I make all sorts of videos here on Youtube! Technology, Tutorials, and Reviews! Enjoy Your stay here, and subscribe! All Suggestions, Thoughts And Comments Are Greatly Appreciated… Because I Actually Read Them. 00:00 Introduction to Local AI Models 01:23 Setting Up Docker Desktop 02:10 Configuring Docker for AI Models 03:38 Downloading and Running AI Models 07:26 Developing AI-Powered Apps 10:05 Advanced Tips and Troubleshooting 13:42 Conclusion and Final Thoughts
