Webinar - Run LLM(Deepseek, Llama) with Docker, Ollama, Huggingface

# Running LLMs (Deepseek, Llama) on Your Machine with Docker, Ollama, and Huggingface

Duration: 1 Hour

## Overview

Join us for an engaging and hands-on webinar where you'll learn how to run powerful large language models (LLMs) like Deepseek and Llama on your local machine using Docker, Ollama, and Huggingface. This session is perfect for developers, data scientists, and AI enthusiasts looking to harness the power of LLMs without relying on cloud services.

## What You'll Learn

• Setting Up Your Environment: Step-by-step guidance on installing and configuring Docker for LLM deployment.
• Using Ollama: How to leverage Ollama to easily run and manage LLMs locally.
• Huggingface Integration: Accessing and fine-tuning pre-trained models from Huggingface’s model hub.
• Running Deepseek and Llama: Practical demos of deploying and interacting with Deepseek and Llama models.
• Best Practices: Tips for optimizing performance, managing resources, and troubleshooting common issues.

## Who Should Attend

• AI/ML practitioners interested in local LLM deployment.
• Developers curious about containerized AI workflows.
• Anyone looking to explore Deepseek, Llama, and open-source AI tools.

## Prerequisites

• Basic knowledge of Python and command-line tools.
• A machine with Docker installed (recommended: 16GB+ RAM, GPU optional).
• Familiarity with AI/ML concepts is helpful but not required.

## Agenda

1. Introduction to LLMs and Local Deployment (10 mins)
2. Setting Up Docker and Ollama (15 mins)
3. Accessing Models with Huggingface (10 mins)
4. Live Demo: Running Deepseek and Llama (20 mins)
5. Q&A and Wrap-Up (5 mins)

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## Why Attend?

By the end of this webinar, you’ll have the skills to deploy and experiment with cutting-edge LLMs on your own machine, empowering you to build AI-driven applications with greater control and flexibility.
Register Now: [Insert Registration Link]
Don’t miss this opportunity to dive into the world of local LLM deployment!