In the previous parts, we connected Spring AI with cloud-based AI models.
But there is one important question:
What if you don't want to send your data to an external AI provider?
What if you want to:
Run an LLM on your own machine
In the previous parts, we connected Spring AI with cloud-based AI models. But there is one important...
Spring AI integra Ollama per LLM locali (llama3.2, Qwen, Mistral) configurabili in YAML minimale. Critico per app aziendali (HR, RAG) con dati sensibili: zero API cost, privacy totale, indipendenza cloud, stack diversificato, compliance governance garantiti.
In the previous parts, we connected Spring AI with cloud-based AI models.
But there is one important question:
What if you don't want to send your data to an external AI provider?
What if you want to:
Run an LLM on your own machine

Why Run AI Locally? You're sending your code, your customer data, your ideas to OpenAI...

No experience needed. Install Ollama, pull your first model, and start chatting — all on your own computer with zero API costs. A…

If you want to run AI models on your own machine and learn the basic concepts with me to do it...

Introduction Part 3 of the Zero Dollar personal AI Assistant series, running Local LLMs on...

Over the past few months, I've experimented with several workflows for using LLMs in software...

Everything a developer needs to run open source AI models on their own hardware: the vocabulary, the memory math, the tools, and…