Large Language Models

Using a Local Large Language Model (LLM): Interacting with Local LLMs Using PowerShell

As AI continues to evolve, many of us are looking for ways to leverage large language models (LLMs) without relying on cloud services. As we learned in my previous post “Using a Local Large Language Model (LLM): Running Ollama on Your Laptop”, running models locally gives you complete control over your data, eliminates API costs, and can be integrated seamlessly into your existing workflows. Today, I’d like to share how you can interact with local LLMs using PowerShell through the Ollama API.

Using a Local Large Language Model (LLM): Running Ollama on Your Laptop

You can now run powerful LLMs like Llama 3.1 directly on your laptop using Ollama. There is no cloud, and there is no cost. Just install, pull a model, and start chatting, all in a local shell. Large Language Models (LLMs) have revolutionized how we interact with data and systems, but many assume you need significant cloud resources or specialized hardware to run them. Today, I want to walk you through getting started with Ollama, an approachable tool that lets you run large language models locally on your laptop.