When it comes to simple inference tasks, my locally-hosted large language models are reliable enough to deliver accurate results. But everything falls apart as soon as I start prompting my LLMs about complex errors, new topics, or frequently updated information. By default, the models I run on llama.cpp can only access their training data, meaning they’re completely isolated from real-time information from the Internet.