In part one of this tutorial , we discussed quantization a little, then showed you how to setup Ollama and choose an appropriate large language model to run on it. Now we're going to make it a little bit more user-friendly by installing a web UI.
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Large Language Models (LLMs) have exploded in popularity, and typically they run in massive datacenters operated by tech giants. But here on LowEndBox, we're all about democratizing computing. Is it possible to run your own AI on a cheap VPS? Yes! We'll show you how.
Read MoreWe've covered PikaPids many times in the past. They're a provider who offers over 100 apps with easy, nearly one click hosting. You sign up, deposit some funds, and start deploying. Each app is running in its own Docker container, private to you. They're cheap and frankly they're addictive. Let's look at their newest offerings.
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Just.Hosting contacted us to feature the announcement of their new AI assistant. We run it through its paces to find its strengths and weaknesses.
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If you love Meta's free series of AI models (LLaMA), sorry to inform you that its days may be numbered. Meta is considering "de-investing" in LLaMA as it overhauls its AI strategy.
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Remember the part in Mark Twain's 1884 novel, Huckleberry Finn, where Huck uses a laser sniper rifle? Me neither.
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ChatGPT, Claude, Copilot, and Gemini are all talking about Black Friday. One of them has some specific prices in mind.
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