How to Run Local LLMs with LM Studio | Local AI Server & LLM API Setup
Dinesh AI Academy
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How to Run Local LLMs with LM Studio | Local AI Server & LLM API Setup
65 просмотров · 9 дней назад
Dinesh AI Academy
3 подписчика
65 просмотров · 9 дней назад
Want to run Large Language Models (LLMs) directly on your own computer?
In this step-by-step tutorial, you will learn how to set up LM Studio, download and run local LLM models, start a local AI server, and connect to your local model using an LLM API.
This is a practical introduction to local AI development and is especially useful for anyone learning Generative AI, LLMs, AI applications, RAG, and AI Agents.
🚀 What You Will Learn
✅ Install and set up LM Studio
✅ Understand what LM Studio is and how it works
✅ Download and manage local LLM models
✅ Run an LLM directly on your computer
✅ Chat with a local AI model
✅ Start the LM Studio Local Server
✅ Understand local API endpoints
✅ Connect applications to your local LLM
✅ Use an OpenAI-compatible API
✅ Send prompts to a local LLM using code
✅ Understand the difference between Cloud LLM APIs and Local LLM APIs
✅ Build a foundation for local AI applications
💻 Why Run LLMs Locally?
Running an LLM locally can help you:
🔹 Experiment with AI without sending every prompt to a cloud model
🔹 Learn how LLM APIs work
🔹 Build and test AI applications locally
🔹 Reduce dependency on cloud APIs during development
🔹 Understand the technology behind local AI
Your available model size and performance will depend on your computer's RAM, GPU/VRAM, and hardware configuration.
🔥 In This Tutorial
LM Studio → Download Model → Run Local LLM → Start Local Server → Connect Through API → Build AI Applications
This setup will prepare you for more advanced topics such as:
LLM Application Development
Prompt Engineering
RAG
AI Agents
Local AI
Open-Source LLMs
AI APIs
Private AI Applications
📚 5-Day AI Bootcamp
This tutorial is part of our practical AI learning journey, where we move from LLM fundamentals → RAG → Prompt Engineering → AI Agents → Building AI Applications.
⏱️ Chapters
00:00 Introduction
00 What is LM Studio?
00 Install LM Studio
00 LM Studio Interface
00 Download a Local LLM
00 Run the Model Locally
00 Chat with the Local LLM
00 Start the Local AI Server
00 Understand the API
00 Connect to the Local LLM with Code
00 Test the LLM API
00 Local LLM vs Cloud LLM
00 What's Next?
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