Harnessing Ollama - Create Secure Local LLM Solutions with Python
Master and Run Custom Ollama LLMs Privately on Your System with a ChatGPT-Like Interface
Created by Paulo Dichone
Explore how to set up and use Ollama for secure, local large language model solutions. You'll learn to customize and interact with models using Python, build real-world applications, and create private chat interfaces without relying on cloud services.
Packt | Dec 2024 | 194 min
What You Will Learn
You'll start by installing and configuring Ollama on your system, then move on to customizing models and running them for various tasks. Through hands-on exercises, you'll integrate these models with Python, build chat interfaces, and explore advanced workflows like RAG systems and function calling. Each step gives you practical experience and confidence.
Key Features
- Set up and customize local LLMs for private, secure deployments
- Integrate Ollama models with Python to build interactive applications
- Develop advanced RAG systems and user-friendly chat interfaces
Target Audience
Perfect for developers, AI enthusiasts, and data scientists who want to create secure, private LLM-based applications. If you have a basic understanding of Python and command-line tools and want to move beyond cloud-based AI, you'll gain practical skills for deploying and customizing local models.
