Getting started with Local AI (How to Use MSTY)
title: Getting started with Local AI
sources: https://www.youtube.com/watch?v=xATApLtF92w
media_link: https://www.youtube.com/watch?v=xATApLtF92w
Authors: "[[Matt Williams]]"
contentPublished: 2025-03-06
noteCreated: 2025-06-30
description: Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
tags:
- clippings
- video
takeaways:
subjects:
- "[[MSTY.app]]"
Status: ✅ Read
publish: true
Youtube_Duration: 12:01Description
🔥 Run POWERFUL AI on YOUR Computer in 5 Minutes (No Technical Skills Needed!)
Tired of paying for ChatGPT or worried about your data privacy? MSTY lets you run AI locally with ZERO technical skills! In this step-by-step tutorial, I'll show you how to set up your own private AI assistant that runs completely offline - protecting your data while giving you all the benefits of AI.
🎯 In this video, you'll learn:
• How to download and install MSTY in under 5 minutes
• Running AI models locally without sending data anywhere
• Using knowledge stacks to let AI learn from your own documents
• Tips for getting better responses with prompt libraries
• Advanced features anyone can use without technical knowledge
🔗 Resources mentioned:
• MSTY Download: https://msty.app
• My quantization explanation video: https://youtu.be/K75j8MkwgJ0
• My MSTY review video: https://youtu.be/5U_lOjfZiXg
If you found this tutorial helpful, please hit that like button and subscribe for more videos that make AI and tech simple for everyone. Leave questions in the comments!
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My Notes
00:00 - Start
00:33 - First step
- msty.app
01:16 - The only config you NEED to do
02:16 - Your first question
03:10 - Regenerate
03:32 - Edit, copy, and shield
- shield: Ask the AI a question without letting it see your previous context history.
04:46 - Delve
- MSTY will highlight key terms.
- Click any term and MSTY will explain it in more detail.
05:20 - Conversations
- conversations can be organized in folders.
05:43 - Remote Models
06:45 - knowledge stacks
- Allows your AI to learn from your documents
- RAG implementation using text embeddings
- It's important to put related documents together.
08:43 - Prompt Library
- collection of prompts and instructions you might want to use
09:28 Model Chooser
- 09:43: Model options and parameters
10:01 - Real Time Data
- Performing web search
10:41 - Talk to one doc
- Talking to a doc without a knowledge stack.
10:56 - Workspaces
- separate settings to different use cases (e.g. work and personal)