"Running AI Locally with Ollama and Postman: A Hands-On Guide"

View profile for Bruno Lima

MuleSoft | Java & Cloud | Software Architect | Python

AI in Practice Session This week I rolled up my sleeves to explore how to run and test AI models locally no cloud, no complex infrastructure, just my own machine. Using Ollama + Postman, I built a small playground where I could chat directly with local models like Llama 2 and see how everything works under the hood. Why this matters: Running AI locally helps you understand the real mechanics behind Large Language Models without API limits, latency, or privacy concerns. Here’s what I tried: 1 Installed Ollama to run models locally 2 Started Llama 2 with a simple terminal command 3 Exposed the model via HTTP using ollama server 4 Sent chat requests through Postman like calling your own mini-API! Substack Link: https://lnkd.in/db_Xj8Pv This setup is perfect for offline testing, prototyping, and learning how AI can integrate with everyday applications. The goal of these “AI in Practice” sessions is to turn AI theory into something you can actually touch, build, and play with. Next up: connecting it to a simple web app and exploring Chat-as-a-Service powered by local AI models. #AI #LLM #Ollama #Postman #PracticalAI #MachineLearning #LocalModels #AIDevelopment #Innovation #HandsOnAI

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