Large language models (LLMs) have become synonymous with cutting-edge AI, capable of generating realistic text, translating languages, and writing different kinds of creative content. But what if you could leverage this power on your own machine, with complete privacy and control? Running LLMs locally might seem daunting, but it’s becoming increasingly accessible. Here’s a breakdown of why you might consider it, and how it’s easier than you think: The Allure of Local LLMs

Artificial intelligence (AI) is rapidly transforming our world, but it comes with a hidden cost: carbon emissions. According to a recent study by the Allen Institute for AI, training a single large language model can produce up to 550 tons of carbon dioxide, equivalent to the emissions of five cars over their lifetime. This is because AI training requires massive amounts of computing power, which in turn relies on electricity generated by fossil fuels.