5 easy ways to run an LLM locally
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Chatbots like ChatGPT, Claude.ai, and phind can be quite helpful, but you might not always want your questions or sensitive data handled by an external application. That’s especially true on platforms where your interactions may be reviewed by humans and otherwise used to help train future models.
One solution is to download a large language model (LLM) and run it on your own machine. That way, an outside company never has access to your data. This is also a quick option to try some new specialty models such as Meta’s recently announced Code Llama family of models, which are tuned for coding, and SeamlessM4T, aimed at text-to-speech and language translations.
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