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Join Hank Preston, Principal Engineer at Cisco Learn, as he dives deep into LM Studio, a powerful local Large Language Model (LLM) tool designed for network engineers. Discover how LM Studio enables running AI models directly on standard laptops without relying on cloud services, offering capabilities like network configuration analysis, retrieval-augmented generation (RAG) for enhanced accuracy, and AI-assisted network diagram interpretation. Learn practical use cases including VPN configuration review, leveraging trusted Cisco documentation to reduce AI hallucinations, and exploring AI-driven automation and agentic AI tools. This episode highlights the benefits of local AI models for cost-effective, private, and efficient network engineering workflows, with a look ahead to integrating AI tools and MCP servers for enriched network automation. Chapters 01:15 - Overview of LM Studio and Local AI Models 03:10 - Use Cases for LM Studio in Network Engineering 04:40 - Demo Setup and Model Selection 06:20 - Reasoning Levels in LM Studio 07:20 - Network Configuration Review Demo 12:10 - Retrieval Augmented Generation (RAG) Demo 15:10 - Discussion on Local AI Benefits and Challenges 16:30 - Network Diagram Analysis Demo 20:30 - Summary and Closing Remarks Resources Bringing Some Source of Truth to Your NetAI Agentic Playground: https://blogs.cisco.com/learning/brin... Run Your Own LLM Locally For Free and with Ease: https://u.cisco.com/tutorials/run-you... ✨ Subscribe for more tech videos! @CiscoUtube ✨ Create a Cisco U. Free Account: http://cs.co/9001OQtCx #Cisco #LMStudio #LocalLLM #NetworkEngineering #GenerativeAI #NetworkAutomation #RetrievalAugmentedGeneration #AgenticAI