Large Language Models (LLMs) have become powerful tools in various applications, from machine translation and content creation to virtual assistants and chatbots. However, successful LLM deployment requires careful planning and consideration of several key factors. Eight crucial aspects to evaluate before integrating LLMs: Hardware and Infrastructure A robust hardware infrastructure is essential for LLM deployment. These models require significant processing power for training and inference, typically relying on powerful Graphics Processing Units (GPUs) or Tensor...