This video is a modification of an earlier popular tutorial (https://youtu.be/_3AsaXoLdj4) that demonstrated how to create a chat interface using Ruby on Rails and ChatGPT.
Unlock the power of local language models with this game-changing tutorial! Join me as I take you on a journey to integrate the cutting-edge Ollama framework into an existing chat application.
In this video, you’ll learn how to ditch the reliance on external APIs like ChatGPT and harness the incredible potential of running large language models (LLMs) directly on your local machine. With Ollama, you can enjoy unparalleled security, cost-efficiency, and the flexibility to choose and even create custom models tailored to your specific needs.
I’ll walk you through the entire process, starting with setting up Ollama using Docker for seamless integration. Then I’ll demonstrate the creation of a whimsical “Pirate Talk” model, showcasing the simplicity of crafting your own language models with Ollama.
But the real magic happens when we dive into modifying the existing Rails chat app, replacing the OpenAI integration with the ollama-ai gem. You’ll witness step-by-step how to handle the chat conversation flow, process Ollama’s streaming responses, and leverage the gem’s powerful features.
Throughout the video, I’ll share insights into the benefits of using Ollama, such as local processing for enhanced data security, the ability to switch between multiple models on the fly, and the tantalizing prospect of bundling LLMs with your development environment.
Whether you’re a seasoned Rails developer or just starting your journey, this tutorial is a must-watch for anyone interested in pushing the boundaries of language models and exploring the vast potential of AI integration in web applications.
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