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The article discusses the development of language models (LLMs) and their impact on our understanding of AI technology. The author argues that there’s no need for hosted LLMs, particularly considering their performance and accessibility. Instead, it’s worthwhile to contemplate running these models on local machines, which offers greater control and flexibility. The analyses conducted illustrate that local solutions can be just as effective in natural language processing tasks compared to their remote counterparts. In an era of increasing availability of computational resources, having local models becomes more attainable for a wide range of users. The article concludes with an encouragement to explore local possibilities and tailor models to individual needs, which can result in better performance and data utilization.