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Large language models (LLMs) are becoming a key part of AI tools and applications. With that, many companies are asking themselves a big question: should we run our own model on private infrastructure, or should we use a public one like GPT-4 or Claude through AWS or Azure? Both options have their pros and cons when it comes to cost, control, scaling, and data privacy. Private LLM vs. public LLM hosting: what’s right for you?
