<h1> Setting Up OpenUI with Ollama: Local Setup, Model Testing, and Troubleshooting </h1> <p>This guide walks through setting up OpenUI with Ollama locally, including model
<p>AI coding assistants are great, but relying on cloud APIs like Claude 3.5 Sonnet or GPT-4o for every single terminal command gets expensive fast. Plus, you might not want to
<p>A private RAG system where you drop in PDFs, Word docs, and code files and ask questions. Runs on any machine, no cloud dependency.</p> <h2> What You Need </h2> <ul> <li>Any
<blockquote> <p><strong>TL;DR</strong></p> <ul> <li>Ollama runs open LLMs locally: Llama 3.3, Mistral, Gemma, DeepSeek, Qwen, Phi, and vision models</li> <li> <code>ollama run
<p>Your Intel laptop has an NPU. It has probably had one for a while. Intel has been marketing it enthusiastically. You have been ignoring it politely.</p> <p>Fair enough. Until
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<p>In the first eight weeks of 2026, ten major open-weight LLM architectures were released.</p> <p>GLM-5 matched GPT-5.2 and Claude Opus 4.6 on benchmarks. Step 3.5 Flash
<h1> Lokale LLMs mit Ollama: So hostest du KI sicher selbst </h1> <p>Wir alle haben es bereits erlebt: Ein scheinbar harmloser Prompt für ein kleines Skript oder eine interne
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