Use the MindsHub Cowork agentic harness for free (open-source): https://mindshub.ai?utm_medium=influencers&utm_source=youtube&utm_campaign=26q3-tech-with-tim&utm_content=integration-2
Everyone's talking about running AI locally, but almost nobody explains what it actually is or how to get it working. In this video I cut through all the jargon — weights, quantization, VRAM, inference engines — and give you the honest, clear version. Then I show you four completely different ways to run a model on your own machine, from a simple desktop app all the way to pure Python code.
Want to LEARN how to build useful AI agents that actually get things done? Go here: https://aiagentbuilders.co/yt
? Tools I Use
Get 10% off with code techwithtim
Openclaw setup: https://www.hostinger.com/techwithtim
VPS setup: https://www.hostinger.com/techwithtim10
Wispr Flow (Best AI Dictation): https://ref.wisprflow.ai/TechWithTim-aug26
⏳ Timestamps ⏳
00:00 | Overview
00:24 | What is Local AI
01:02 | Cloud vs Local AI
02:29 | BUILDING BLOCK 1: THE MODEL FILE
03:13 | BUILDING BLOCK 2: MODEL SIZES
03:51 | BUILDING BLOCK 3: QUANTIZATION
04:44 | BUILDING BLOCK 4: THE INFERENCE ENGINE
05:23 | BUILDING BLOCK 5: YOUR HARDWARE
09:43 | MindsHub Cowork
11:04 | THE FOUR WAYS
12:12 | #1 - LM Studio
15:52 | #2 - Ollama
19:00 | #3 - Docker Model Runner
21:05 | #4 - Full Code
23:04 | HOW TO PICK?
Hashtags
#LocalAI #OpenSourceAI #AIOffline
UAE Media License Number: 3635141