Uploaded April 2026 | Updated September 2026, 2 weeks ago
How to Install LM Studio on Windows 11 | Run AI Models Locally
In this step-by-step tutorial, you’ll learn how to install LM Studio on Windows 11 and run AI models locally on your computer. This guide is perfect for developers, students, and AI enthusiasts who want to explore local AI without relying on cloud APIs or paid subscriptions.
LM Studio is a powerful tool that allows you to download, manage, and run large language models (LLMs) directly on your system. It provides a user-friendly interface, making it easy to experiment with AI models for coding, chat, and automation tasks.
In this video, you’ll learn how to:
• Download LM Studio on Windows 11
• Install and set up the application
• Explore the LM Studio interface
• Download and run local AI models
• Configure model settings for better performance
• Run prompts and interact with AI locally
• Optimize performance based on your system
• Troubleshoot common installation issues
Running AI models locally with LM Studio offers several benefits:
• Zero API cost
• Full privacy and control over your data
• No internet dependency for AI usage
• Faster response times for local workflows
• Easy-to-use interface for beginners
This tutorial is perfect for:
• Windows 11 users
• Developers exploring local AI tools
• Students learning AI concepts
• Anyone interested in offline AI setups
By the end of this tutorial, you’ll have LM Studio installed and running on Windows 11, ready to use for local AI tasks like coding, chatting, and automation.
If you found this tutorial helpful, don’t forget to like, subscribe, and share it with others interested in AI tools.
#LMStudio #Windows11 #LocalAI #AICoding #OfflineAI #DeveloperTools #ArtificialIntelligence #LLM #SelfHostedAI #TechTutorial #LMStudio #LocalAI #Windows11 #AITools #OfflineAI #Programming
How to Install LM Studio on Windows 11 | Run AI Models Locally
In this step-by-step tutorial, you’ll learn how to install LM Studio on Windows 11 and run AI models locally on your computer. This guide is perfect for developers, students, and AI enthusiasts who want to explore local AI without relying on cloud APIs or paid subscriptions.
LM Studio is a powerful tool that allows you to download, manage, and run large language models (LLMs) directly on your system. It provides a user-friendly interface, making it easy to experiment with AI models for coding, chat, and automation tasks.
In this video, you’ll learn how to:
• Download LM Studio on Windows 11
• Install and set up the application
• Explore the LM Studio interface
• Download and run local AI models
• Configure model settings for better performance
• Run prompts and interact with AI locally
• Optimize performance based on your system
• Troubleshoot common installation issues
Running AI models locally with LM Studio offers several benefits:
• Zero API cost
• Full privacy and control over your data
• No internet dependency for AI usage
• Faster response times for local workflows
• Easy-to-use interface for beginners
This tutorial is perfect for:
• Windows 11 users
• Developers exploring local AI tools
• Students learning AI concepts
• Anyone interested in offline AI setups
By the end of this tutorial, you’ll have LM Studio installed and running on Windows 11, ready to use for local AI tasks like coding, chatting, and automation.
If you found this tutorial helpful, don’t forget to like, subscribe, and share it with others interested in AI tools.
#LMStudio #Windows11 #LocalAI #AICoding #OfflineAI #DeveloperTools #ArtificialIntelligence #LLM #SelfHostedAI #TechTutorial #LMStudio #LocalAI #Windows11 #AITools #OfflineAI #Programming









![First Impressions of Claude Fable 5 | AI Coding & Reasoning Test
# First Impressions of Claude Fable 5 | AI Coding & Reasoning Test
In this video, we take a first look at **Claude Fable 5**, Anthropic’s latest frontier AI model, and put it through a series of coding, reasoning, and problem-solving tests. Claude Fable 5 is designed for advanced software engineering, long-context understanding, complex analysis, and agent-style workflows, making it one of the most capable publicly available AI models for developers and technical users. ([Anthropic][1])
Whether youre a programmer, AI enthusiast, researcher, DevOps engineer, or someone interested in the future of AI-assisted development, this video will give you an overview of what Claude Fable 5 can do and how it compares to previous AI models.
In this hands-on test, we explore Claude Fable 5’s capabilities in real-world scenarios, including code generation, debugging, reasoning tasks, and long-context understanding. We evaluate how well the model handles programming challenges, explains complex concepts, refactors code, and solves multi-step problems.
Claude Fable 5 introduces major improvements in reasoning, coding accuracy, and context handling. It supports a massive context window of up to 1 million tokens and can generate long, structured outputs, making it useful for working with large codebases, documentation, and complex projects. ([Simon Willison’s Weblog][2])
We also test how the model performs with:
* Writing code from prompts
* Fixing bugs and debugging errors
* Refactoring existing code
* Understanding large projects
* Solving logic and reasoning problems
* Explaining technical concepts
* Working with long documents
* Comparing AI coding workflows
* Agent-style development tasks
Additionally, we discuss Claude Fable 5’s strengths, limitations, and ideal use cases for developers and technical professionals. While the model excels at coding, analysis, and reasoning tasks, we also explore where human review remains important and how AI tools fit into modern software development workflows. ([Medium][3])
Topics covered in this video:
* What is Claude Fable 5?
* New features and improvements
* AI coding performance
* Reasoning and problem-solving tests
* Long-context capabilities
* Code generation and debugging
* Agent workflows
* Comparing results with earlier models
* Real-world developer use cases
* Strengths and limitations
* First impressions and final thoughts
Claude Fable 5 represents a significant step forward in AI-assisted coding and reasoning, offering powerful tools for developers, researchers, and technical teams. Whether youre building applications, analyzing large datasets, or exploring advanced AI workflows, this model demonstrates how rapidly AI capabilities are evolving. ([Anthropic][1])
If you found this video helpful, don’t forget to like, subscribe, and turn on notifications for more AI tools, coding assistants, programming tutorials, and technology content.
#ClaudeFable5 #ClaudeAI #Anthropic #AI #ArtificialIntelligence #AICoding #CodingAssistant #Programming #SoftwareDevelopment #DeveloperTools #ReasoningAI #LLM #GenerativeAI #Coding #TechReview #AIAgent #Automation #MachineLearning #AITools #TechTutorial
[1]: https://www.anthropic.com/news/claude-fable-5-mythos-5?utm_source=chatgpt.com Claude Fable 5 and Claude Mythos 5
[2]: https://simonwillison.net/2026/Jun/9/claude-fable-5/?utm_source=chatgpt.com Initial impressions of Claude Fable 5
[3]: https://ismatbabir.medium.com/claude-fable-5-review-2026-mythos-class-ai-pricing-verdict-9f76abf75df5?utm_source=chatgpt.com Claude Fable 5 Review 2026: Mythos-Class AI, Pricing & Verdict First Impressions of Claude Fable 5 | AI Coding & Reasoning Test](https://i.ytimg.com/vi/uyUMWW0t6q0/mqdefault.jpg)
