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This presentation explores Large Language Models (LLMs), covering their significance, applications, and connection to AI engineering. The training process will be detailed, including pretraining, fine-tuning for alignment, and reasoning techniques. Key aspects such as leveraging large datasets, using supervised and reinforcement learning to enhance model reliability, and optimizing self-correction mechanisms are explained. The vital role of infrastructure, from GPUs to efficient hardware,...