Перейти к содержимому

How to Run Local LLMs with LM Studio | Local AI Server & LLM API Setup

Dinesh AI Academy

0:00 / 0:00

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? 👍 If this tutorial helped you, Like the video and Subscribe for more practical tutorials on AI, Generative AI, LLMs, RAG, AI Agents, Python, and local AI development. #LMStudio #LocalLLM #LLM #GenerativeAI #LocalAI #AI