• Fact-checking AI answers: how do you check if they are correct? - LLMnetDiscover how to reliably check the output of language models. Learn practical steps to detect hallucinations and verify facts.
• Using AI Safely at Home: Practical Tips for Families | LLMnet.nlDiscover how to handle artificial intelligence smartly and safely as a family. Practical tips on privacy, agreements with children, and reliable answers.
• GDPR-compliant with AI: privacy checklist for Dutch organizations | LLMnet GuideDiscover how to deploy AI safely and GDPR-compliantly in your organization with this practical privacy checklist. Includes DPIA, local models, and data minimization.
• Improving Your AI's Performance in Dutch: A Practical GuideDiscover how to improve the performance of Large Language Models in Dutch. Learn about effective system prompts, tone, register, and avoiding Anglicisms.
• Searching Your Own Documents with Local AI (Private RAG)Discover how to search your own documents and notes privately and locally with AI. Learn all about RAG, tools, hardware, and privacy without the cloud.
• What hardware do you need to run LLMs locally? | Guide llmnet.nlDiscover exactly what hardware you need for local LLMs. Learn about RAM, VRAM, GPU versus CPU, and quantization. Practical guide for local AI builders.
• Quantization explained: running large models on small hardware | Local LLM GuideDiscover what LLM quantization is, how GGUF works, and how to find the ideal balance between model quality and memory usage on modest hardware.
• Running a local language model (LLM) in Docker: The complete guideLearn why and how to run a local AI language model in Docker. Includes explanations of GPU acceleration, volumes, networks, and performance differences per OS.
• Running an LLM locally on your own machine | LLM GuideLearn how to easily run a Large Language Model (LLM) locally. Discover the hardware requirements, privacy benefits, and tools like Ollama and LM Studio.
• Running an LLM on a Synology NAS: What works and what doesn't?Can you run a Large Language Model locally on a Synology NAS? Discover the possibilities, RAM requirements, and limitations of CPU inference via Docker.
• Choosing a Local Model: Which Variant Fits Your Goal?Discover how to choose the right local AI model for your goal, such as coding or chatting. Learn all about model size, speed, and Dutch support.
• Local Image Generation: Create AI Images on Your Own Computer | LLMnetA complete guide to generating images locally with AI. Learn all about hardware requirements, models, software tools, and prompt settings.
• Connecting a Local LLM to VS Code as a Code Assistant: The Complete GuideLearn how to connect a local AI model to VS Code. Discover the best extensions, settings for Apple Silicon, and tips for privacy-friendly coding.
• Running Local LLMs on Linux: The Ultimate Guide to Ollama and llama.cppLearn how to run a local LLM on Linux. Step-by-step guide for Ollama, llama.cpp, GPU drivers (NVIDIA/AMD), and headless server configurations.
• Running Local LLMs on Windows with LM Studio and OllamaLearn step-by-step how to install local LLMs like Llama 3 and Mistral on Windows using LM Studio or Ollama. Includes tips for CPU and GPU optimization.
• Connecting a local model to your own documents (RAG) on your MacLearn how to connect a language model (LLM) to your own documents locally on your Mac using RAG. Secure, with tools like Ollama and vector databases, for 100% privacy.
• Downloading and Managing Local Models: The Complete Guide | llmnet.nlLearn how to safely download local LLM models, choose GGUF and quantization formats, and efficiently manage your storage space without chaos.
• Installing Ollama and running your first local model on macOSDiscover step-by-step how to install Ollama and run local language models on macOS. Includes hardware requirements, terminal commands, and useful tips.
• Setting up Open WebUI: a pleasant chat interface for your local modelsDiscover how to set up Open WebUI as a user-friendly chat interface for your local LLMs via Ollama. Practical guide for installation and configuration.
• Using AI in a Privacy-Friendly Way in Daily Work | LLMnet GuidePractical guide for safe AI use at work. Discover which data you should keep local, essential privacy settings, and free privacy-conscious tools.
• Converting Speech to Text Locally: The Complete Guide for Apple SiliconLearn how to convert speech to text locally and privacy-friendly on your own Mac. Discover the best models, hardware requirements, and diarization techniques.
• What does the power consumption of local AI cost? (GPU/CPU Calculation & Measurements)Calculate exactly what the power consumption of local AI models costs. Practical formulas for GPU/CPU inference, idle consumption, and a cloud comparison.