LM Studio Live Demo, CrewAI Multi-Agent Systems & Jupyter AI Notebooks Explained

Описание: In this session, we bring together three powerful tools shaping the future of practical AI development: LM Studio, CrewAI, and Jupyter AI. You’ll see how to run large language models locally, orchestrate multi-agent systems, and supercharge your coding workflow inside notebooks—all in one hands-on webinar.

We start with a live demo of LM Studio by Jatin, showing how to run and experiment with local LLMs on your own machine. Next, we dive into multi-agent systems with CrewAI, exploring how to coordinate multiple AI agents to collaborate on complex tasks. We’ll take a closer look at the CrewAI company, its ecosystem, and walk through our own repo and course overview.

Finally, we turn to Jupyter AI, demonstrating how to use AI directly inside notebooks to write, refactor, and debug code faster. Throughout the session, we’ll walk through slides and live demos you can reproduce on your own.

What We’ll Cover

🧠 LM Studio Live Demo (by Jatin)

How LM Studio works for running and testing local language models.

When and why you might want to use local LLMs instead of cloud-only options.

Practical tips for getting started and experimenting with prompts and models.

🤖 Multi-Agent Systems with CrewAI

Introduction to CrewAI and the idea of “crews” of cooperating AI agents.

How multi-agent architectures can handle complex workflows better than a single model.

Walkthrough of our CrewAI repo and how to adapt it to your own use cases.

🏢 Inside the CrewAI Ecosystem

A quick look at the CrewAI company, tooling, and ecosystem.

How CrewAI fits into the broader agentic AI landscape.

Course overview: what you’ll learn if you go deeper with our CrewAI / agentic training.

💻 Jupyter AI: AI Coding in Notebooks

How to use Jupyter AI to write, refactor, and debug code inside notebooks.

Using AI to assist with data exploration, experiments, and documentation.

Live demo of a notebook-driven workflow powered by AI.

Resources

CrewAI Repo & Materials: (Add your CrewAI repo link here)
Jupyter AI in Our Repo: (Add your Jupyter AI repo link here)
ElephantScale Webinars: https://elephantscale.com/webinars/

Host: Mark Kerzner (  / markkerzner  
)
Guest Demo: Jatin (  / jatin-soni75  )

Keywords

LM Studio, Local LLM, Local AI, CrewAI, Multi-Agent Systems, AI Agents, Agentic AI, Jupyter AI, AI in Notebooks, AI Coding, AI Developer Tools, Live Demo, AI Course Overview, Mark Kerzner, ElephantScale, Jatin, Agent Orchestration, AI Workflows.

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