Linux kernel plans to drop the «Assisted-by» tag for AI-written patches
Tools & releasesRelated articles
Running LLM Models Locally: From First Install to First Working Model
From zero to a first answering model: what you actually need, Ollama step by step, how to pick a model for your memory, expected speeds per hardware, and the typical problems fixed.
Fine-tuning: adapting a model to your data with LoRA and QLoRA
When prompts and RAG aren't enough: you adapt the model's weights to your data. LoRA, QLoRA, dataset preparation, and local tools (LLaMA-Factory, Unsloth, MLX) on a single consumer GPU.
Privacy: what actually goes over the network when AI is local
Your data doesn't leave the machine — almost. Here's what actually goes out over the network with Ollama and LM Studio, and how to verify it in half an hour with tcpdump, Wireshark and mitmproxy.
Get the next local-AI briefing
Once a week, the top selection from iaLocale: articles, news and resources on local AI, and more.
After signing up you receive a confirmation email (double opt-in). Without confirmation we send nothing. No spam, we promise.