In recent months, large language models have been the subject of extensive research and development, with state-of-the-art models like GPT-4, Meta LLaMa, and Alpaca pushing the boundaries of natural language processing and the hardware required to run them. Running inference on these models can be computationally challenging, requiring powerful hardware to deliver real-time results.













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