• views: 115
• date: 23 August 2026
• posted by: voska89

Build the Ultimate Local AI Workflow
This workshop teaches you how to build a practical local AI workflow with LM Studio. You will begin with a clear mental model for how models and LLMs work, then learn how to evaluate model families, formats, quantization levels, and hardware

Requirements

. From there, you will download and run a local model, configure it for reliable output, and serve it through an OpenAI-compatible API. The workshop closes by connecting local models to applications and developer tools, safely accessing them remotely, and diagnosing the performance, memory, output-quality, and privacy that matter in production.
What You Will Master
The Senior Engineer Toolkit
Understand how LLMs work, including tokens, context windows, inference, and the hardware that runs them
Choose the right local model, format, and quantization for your task and available hardware
, configure, and serve models with LM Studio through an OpenAI-compatible local API
Integrate local models into applications and developer tools while handling performance, privacy, and security tradeoffs
Prerequisites
Basic familiarity with agentic AI coding
Preferably a computer with decent hardware for running AI models (M series Mac, or PC with dedicated GPU)
Who is this for?
This workshop is for developers who want to run and use AI models locally. It is designed for developers of any skill level who want a to start using local AI models in the quickest and easiest way possible.

Homepage

https://master.dev/workshops/local-ai/

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.